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• Theoretical frameworks
• Mechanical engineering : its nature, the informants and the corpus
• Methodology
• Rhetorical structures of mechanical engineering research articles
• The phraseological profile of mechanical engineering research articles
• Rhetorical variation within the mechanical engineering discipline
• Conclusions and implications

"This volume examines rhetorical conventions employed in mechanical engineering research to understand the knowledge-making principles of the discipline, as well as their expression within the research article. In particular, the study analyses the organisational pattern of mechanical engineering research articles using Swales's conceptualisation of moves and steps. In addition, the research identifies the phraseology associated with specific moves and steps. The study draws on a corpus of 120 mechanical engineering research articles, equally distributed across two sub-disciplines (mechanical systems and thermal-fluids engineering), three research traditions (experimental, theoretical and mixed methods), and two publication periods (2002-2006 and 2012-2016). It adopts an integrated methodology, intertwining various approaches and perspectives including corpus linguistics, move analysis, discourse analysis and interviews to address two main strands of research enquiry: (i) What are the properties of the rhetorical structures in terms of range, frequency, and length for each section of mechanical engineering research articles? (ii) What effect does sub-discipline, research tradition and publication date have on the rhetorical structure of research articles?"-- Provided by publisher

• Front Cover
• Acoustic Emission Signal Analysis and Damage Mode Identification of Composite Wind Turbine Blades
• Acoustic Emission Signal Analysis and Damage Mode Identification of Composite Wind Turbine Blades
• Copyright
• Contents
• Preface
• 1
• AE health monitoring technique for composite wind turbine blade: a state-of-art review
• 1.1 Basic structures and damage mechanisms of wind turbine blades
• 1.2 Structural health monitoring techniques of wind turbine blades
• 1.3 Basic principles and feature parameters of AE technique
• 1.4 Defect positioning techniques using AE signals

• 3
• AE tests and signal analysis on delamination of composite laminates under three-point bending and different temperature
• 3.1 Delamination experiments and AE tests of composite laminates
• 3.2 Mechanical properties of composite laminates
• 3.3 AE signal analysis of delamination failure of composite laminates
• 3.3.1 AE signal analysis of delamination failure of composite specimens under 70°C temperature
• 3.3.2 AE signal analysis of delamination failure of composite specimens under 70°C temperature

• 3.3.3 AE signal analysis of delamination failure of composite specimens under 70°C temperature
• 3.4 Concluding remarks
• References
• 4
• AE tests and signal analysis on delamination of composite laminates under three-point bending and hygrothermal environments
• 4.1 Delamination experiments and AE tests of composite laminates under hygrothermal environment
• 4.1.1 Mechanical properties of composite laminates
• 4.1.2 Mechanical properties of composite laminates under room temperature

• 4.1.3 Mechanical properties of composite laminates under hygrothermal environment
• 4.1.4 Mechanical properties of composite laminates by considering SLB loading effect
• 4.1.5 Mechanical properties of composite laminates by considering OLB loading effect
• 4.2 AE signal analysis of delamination failure of composite laminates under hygrothermal environment
• 4.2.1 composite specimens
• 4.2.2 composite specimens
• 4.2.3 composite specimens

• Intro
• Preface
• Motivation and Objectives
• Intended Audience
• Book Outline and Usage
• Contents
• Acronyms
• Notation
• 1 Introduction
• 2 Stabilizing Control Design
• 2.1 Lyapunov Stability Theory
• 2.1.1 Stability Notions
• 2.1.2 Lyapunov Functions
• 2.2 Control Lyapunov Functions
• 2.3 Designing Control Lyapunov Functions
• 2.3.1 Feedback Linearization
• 2.3.2 Backstepping
• 2.3.3 Design Example
• 2.4 Notes
• 3 Safety-Critical Control
• 3.1 Safety and Set Invariance
• 3.2 Control Barrier Functions
• 3.3 High Order Control Barrier Functions
• 3.4 Notes

• 4 Adaptive Control Lyapunov Functions
• 4.1 Adaptive Nonlinear Control
• 4.2 Concurrent Learning Adaptive Control
• 4.2.1 Parameter Identification
• 4.2.2 Concurrent Learning
• 4.3 Exponentially Stabilizing Adaptive CLFs
• 4.4 Numerical Examples
• 4.5 Notes
• 5 Adaptive Safety-Critical Control
• 5.1 Adaptive Control Barrier Functions
• 5.2 Robust Adaptive Control Barrier Functions
• 5.3 High Order Robust Adaptive Control Barrier Functions
• 5.4 Numerical Examples
• 5.5 Notes
• 6 A Modular Approach to Adaptive Safety-Critical Control
• [DELETE]
• 6.1 Input-to-State Stability

• 6.2 Modular Adaptive Stabilization
• 6.3 Input-to-State Safety
• 6.4 Numerical Examples
• 6.5 Notes
• 7 Robust Safety-Critical Control for Systems with Actuation Uncertainty
• 7.1 A Duality-Based Approach to Robust Safety-Critical Control
• 7.1.1 Robust Control Barrier Functions
• 7.1.2 Robust Control Lyapunov Functions
• 7.2 Online Learning for Uncertainty Reduction
• 7.3 Numerical Examples
• 7.4 Notes
• 8 Safe Exploration in Model-Based Reinforcement Learning
• 8.1 From Optimal Control to Reinforcement Learning
• 8.2 Value Function Approximation

• 8.3 Online Model-Based Reinforcement Learning
• 8.3.1 System Identification
• 8.3.2 Safe Exploration via Simulation of Experience
• 8.4 Numerical Examples
• 8.5 Notes
• 9 Temporal Logic Guided Safe Model-Based Reinforcement Learning
• 9.1 Temporal Logics and Automata
• 9.2 Simultaneous Stabilization and Safety
• 9.3 A Hybrid Systems Approach to LTL Control Synthesis
• 9.4 Temporal Logic Guided Reinforcement Learning
• 9.5 Numerical Examples
• 9.6 Notes
• Index
• Index

This book stems from the growing use of learning-based techniques, such as reinforcement learning and adaptive control, in the control of autonomous and safety-critical systems. Safety is critical to many applications, such as autonomous driving, air traffic control, and robotics. As these learning-enabled technologies become more prevalent in the control of autonomous systems, it becomes increasingly important to ensure that such systems are safe. To address these challenges, the authors provide a self-contained treatment of learning-based control techniques with rigorous guarantees of stability and safety. This book contains recent results on provably correct control techniques from specifications that go beyond safety and stability, such as temporal logic formulas. The authors bring together control theory, optimization, machine learning, and formal methods and present worked-out examples and extensive simulation examples to complement the mathematical style of presentation. Prerequisites are minimal, and the underlying ideas are accessible to readers with only a brief background in control-theoretic ideas, such as Lyapunov stability theory.

• Intro
• Preface
• Contents
• About the Editors
• Agile Project Management: Evaluation of Implementation Barriers Using the BWM
• 1 Introduction
• 2 Literature Review
• 2.1 Agile Project Management
• 2.2 Challenges Encountered with Practicing APM
• 3 Methodology
• 3.1 Exploration of Literature
• 3.2 Interview with Industry Experts and BWM Implementation
• 4 Results
• 4.1 Interview Results Overview
• 4.2 BWM Results
• 5 Conclusions
• References
• Improvement of Service Flow and Cost Optimization for an Automobile Service Center
• 1 Introduction
• 2 Literature Review

• 3 Methodology
• 3.1 Profile of a Case Organization
• 3.2 Proposed Research Methodology
• 4 Result
• 5 Conclusion
• References
• A Study of Key Challenges in Implementation of Digital Supply Chain in the Context of Indian SMEs
• 1 Introduction
• 2 Literature Review
• 2.1 Digital Supply Chain
• 2.2 Need of Digital Transformation of SC in SMEs
• 2.3 Challenges in Implementation of DSC
• 3 Conclusion
• References
• Forecasting Price of Small Cardamom in Southern India Using ARIMA Model
• 1 Introduction
• 2 Materials and Methodology
• 2.1 Mann-Kendall Test

• 2.2 Sen's Slope Estimator Test
• 2.3 ARIMA (Autoregressive Integrated Moving Average)
• 3 Results and Discussion
• 3.1 ARIMA Modelling
• 4 Conclusions
• Referencess
• Impediments to Environmental Sustainability Adoption Within Supply Chain of an Indian Nickeling SMEs-An ISM and MICMAC Analysis
• 1 Introduction
• 2 Literature Review
• 3 Interpretive Structural Model for the Environmental Barriers
• 4 Mapping of the Environmental Barriers Using MICMAC Analysis
• 5 Conclusion
• References
• Ranking and Prioritization of the Factors Impacting the Implementation of Industry 4.0

• 1 Introduction
• 2 Literature Review
• 3 Methodology
• 3.1 Fuzzy Analytical Hierarchy Process and Fuzzy Set Theory
• 3.2 FAHP (Fuzzy Analytical Hierarchy Process)
• 4 Result and Discussion
• 5 Conclusion
• References
• Assessment of Environmental Sustainability of Manufacturing Practices of Indian SMEs in COVID Era
• 1 Introduction
• 2 Literature Review
• 3 Methodology
• 4 Conclusion
• References
• Identification and Analysis of Enablers of Social Sustainability in Indian SMEs: Fuzzy DEMATEL Approach
• 1 Introduction
• 2 Literature Review
• 3 Methodology
• 4 Results

• 5 Conclusion, Limitations, and Future Research Regulations
• References
• Strengthening the Social Sustainability of Indian SMEs in the Current Era
• 1 Introduction
• 2 Literature Review
• 3 Methodology for Assessing Social Sustainability
• 4 Results and Conclusion
• 5 Limitations and Future Research Directions
• References
• Identification of Critical Success Factors (CSFs) for Implementation of Industry 4.0 in MSME Sector
• 1 Introduction
• 2 Literature Review
• 3 Methodology
• 3.1 PRISMA Statement
• 3.2 Finalization of Articles to Be Included
• 4 Conclusion
• References

This book comprises the select proceedings of the 3rd Biennial International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2022. It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in industrial and production engineering. Various topics covered include sustainable manufacturing processes, logistics & supply chains, Industry 4.0 practices, circular economy, lean six sigma, agile manufacturing, additive manufacturing, IoT and Big Data in manufacturing, 3D printing, simulation, manufacturing management and automation, surface roughness, multi-objective optimization and modelling for production processes, developments in casting, welding, machining, and machine tools and many more advancements in industrial and production engineering. This volume will prove a valuable resource for those in academia and industry working in the area of industrial and production engineering

• Axial Rotary Forging of the Thin Wall Inner Flanges With Fixed and a Movable Dies
• Calculated Dependences for Determining Theoretical Stress Concentration Fac-tors in a Welded T-joint
• Investigation of the Friction Self-Oscillation in Two-Mass System
• An Overview of Methods to Form Orthogonal Polyhedra for the Problems of Packing Objects of Complex Shape
• Index.

This book draws together the most interesting recent results to emerge in mechanical engineering in Russia, providing a fascinating overview of the state of the art in the field in that country which will be of interest to a wide readership. A broad range of topics and issues in modern engineering is discussed, including dynamics of machines, materials engineering, structural strength and tribological behavior, transport technologies, machinery quality and innovations. The book comprises selected papers presented at the 11th conference "Modern Engineering: Science and Education", held at the Saint Petersburg State Polytechnic University in June 2022 with the support of the Russian Engineering Union. The authors are experts in various fields of engineering, and all of the papers have been carefully reviewed. The book is of interest to mechanical engineers, lecturers in engineering disciplines and engineering graduates.

• Smart Algorithm for Optimal Energy Utilization in EV Charging Stations
• Real Power loss Minimisation and Energy Cost Saving with DG and Capacitor using JAYA Algorithm in Radial Distribution System
• Design and Analysis of a Grid-connected Solar Photo-voltaic (SPV) Power Plant of 10 kW
• Fault Classification of Dry Type Transformer using Pattern Recognition Neural Network
• Design and Development of Emulated Fuel Cell Based Hierarchical Controlled DC Microgrid System
• Development of Integrated Test Set for SoC-SoH Estimation of Lithium-Ion Battery
• A Novel Hybrid Islanding Detection Technique in Multi DG Microgrid System
• Life Cycle Assessment of a Hybrid Solar based Electric Vehicle Charging Station using SimaPro
• Potential Assessment for Repowering of Solar Projects in India
• Modelling and Economic Optimization of Residential Load Based Microgrid in HOMER Pro by Dispatch Strategy
• Conductance Factor-Based Control of Solar Photo-Voltaic fed Shunt Active Power Filter
• Machine Learning Based Prediction of Solar Power Plant Performance under the Impact of Natural Dust Accumulation
• Application of Neural Networks in Reliability Evaluation of Distribution Networks Integrated with Distributed Generation
• Feasibility Assessment of the Smart Grid in Uganda
• Two Stage Boost Inverter for Wave Energy Conversion.

This book presents selected papers from the 8th International Conference on Advances in Energy Research (ICAER 2022), providing coverage encompassing advanced conventional energy technology, renewable and non-conventional energy technology, electric mobility, energy storage, energy, environment and society, industry innovations in energy, sector-coupled energy system, and energy education. The contents of this book are of use to researchers from not only scientific background, but also economics and anthropology. It encourages researchers to conduct research on the ways to assess and analyse the acceptance of the novel energy forms among the mass population from a financial and social perspective.

Advances in Wind Turbine Blade Design and Materials, Second Edition, builds on the thorough review of the design and functionality of wind turbine rotor blades and the requirements and challenges for composite materials used in both current and future designs of wind turbine blades.

• 1: Introduction
• 2: Contribution
• 3: Future Directions.

This book presents the astonishing potential of deep sensorimotor policies for agile vision-based quadrotor flight. Quadrotors are among the most agile and dynamic machines ever created. However, developing fully autonomous quadrotors that can approach or even outperform the agility of birds or human drone pilots with only onboard sensing and computing is challenging and still unsolved. Deep sensorimotor policies, generally trained in simulation, enable autonomous quadrotors to fly faster and more agile than what was possible before. While humans and birds still have the advantage over drones, the author shows the current research gaps and discusses possible future solutions.

• 1. Optical resistance switch for optical sensing
• 2. Empirical, statistical, and machine learning techniques for predicting surface settlement induced by Tunnelling
• 3. A review on the feasibility of Artificial Intelligence in Mechatronics
• 4. Feasibility of artificial intelligence techniques in rock characterization
• 5. A review on the application of soft computing techniques in Foundation Engineering.

Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.

• Intro
• Foreword
• Preface
• Website of the Book
• References
• Contents
• Terminology and Abbreviations
• Terminology
• Abbreviations
• Basic Block Diagram and Associated Signals
• Sec5
• Sec6
• Variables and Parameters
• Sec8
• Interactive Symbols
• Functions
• Other Symbols
• Complex Number Theory in Relation with the Laplace Transform
• References
• List of Figures
• List of Tables
• Part I About Interactivity and Main Objectives of the Book
• References
• 1 Introduction
• 1.1 Introduction: Visualization and Interactivity
• 1.2 What Is Meant by Visualization?

• 1.3 The Role of Visualization in Automatic Control Teaching and Learning
• 1.4 What Is Meant by Interactivity?
• 1.5 The Role of Interactivity in Automatic Control Teaching and Learning
• 1.6 Objectives and Organization of the Contents
• 1.7 Components and Structures of the Interactive Tools
• 1.7.1 Distribution of Elements and Interactive Objects in the Tools
• 1.7.2 A Remark on Numerical Implementation
• References
• Part II Open-Loop Analysis
• 2 From Nonlinear Physical Models to Linear Models
• 2.1 Introduction
• 2.1.1 Static Versus Dynamical Systems
• 2.1.2 Mathematical Models

• 2.1.3 Linear Systems
• 2.1.4 Linearization
• 2.2 The Tank Level System
• 2.2.1 Interactive Tool: bluetank_level_lin
• 2.3 Variable Section Tank Level System
• 2.3.1 Interactive Tool: blue spherical_tank_level_lin
• 2.4 Ball & Beam System
• 2.4.1 Interactive Tool: blue ball_and_beam_control
• 2.5 Inverted Pendulum on a Cart System
• 2.5.1 Interactive Tool: blue inverted_pendulum_control
• 2.6 DC Motor System
• 2.6.1 Interactive Tool: blue DC_motor_control
• References
• 3 Time Response
• 3.1 Introduction
• 3.1.1 Laplace Transform and Transfer Function

• 3.2 Time Response of Continuous-Time First-Order Linear Systems without Zeros
• 3.2.1 Interactive Tool: bluet_first_order
• 3.3 Time Response of Continuous-Time Second-Order Linear Systems without Zeros
• 3.3.1 Interactive Tool: bluet_second_order
• 3.4 Effect of a Zero on the Time Response of Continuous-Time First-Order Linear Systems
• 3.4.1 Interactive Tool: bluet_first_order_zero
• 3.5 Effect of a Zero on the Time Response of Continuous-Time Second-Order Linear Systems
• 3.5.1 Interactive Tool: bluet_second_order_zero
• 3.6 Time Response of Generic Continuous-Time Linear Systems

• 3.6.1 Interactive Tool: bluet_generic
• 3.7 Dominance in the Time Domain
• 3.7.1 Interactive Tool: bluet_dominance
• 3.8 Model Fitting in the Time Domain
• 3.8.1 Interactive Tool: bluet_model_fitting
• References
• 4 Frequency Response
• 4.1 Introduction
• 4.2 Frequency Response Concept
• 4.2.1 Interactive Tool: bluef_concept
• 4.3 Frequency Response of Continuous-Time First-Order Linear Systems Without Zeros
• 4.3.1 Interactive Tool: bluef_first_order
• 4.4 Frequency Response of Continuous-Time Second-Order Linear Systems Without Zeros
• 4.4.1 Interactive Tool: bluef_second_order

Automatic Control with Interactive Tools is a textbook for undergraduate study of automatic control. Providing a clear course structure, and covering concepts taught in engineering degrees, this book is an ideal companion to those studying or teaching automatic control. The authors have used this text successfully to teach their students. By providing unique interactive tools, which have been designed to illustrate the most important automatic control concepts, Automatic Control with Interactive Tools helps students overcome the potential barriers presented by the significant mathematical content of automatic control courses. Even when they have previously had only the benefit of an introductory control course, the software tools presented will help readers to get to grips with the use of such techniques as differential equations, linear algebra, and differential geometry. This textbook covers the breadth of automatic control topics, including time responses of dynamic systems, the Nyquist criterion and PID control. It switches smoothly between analytical and practical approaches. Automatic Control with Interactive Tools offers a clear introduction to automatic control, ideal for undergraduate students, instructors and anyone wishing to familiarize themselves with the fundamentals of the subject

• Chapter 1: Getting Started
• Chapter 2: First Steps
• Chapter 3: Getting Input
• Chapter 4: Communicating with the Outside World
• Chapter 5: Taking Control with Hardware Interrupts
• Chapter 6: Timing with Hardware Timers
• Chapter 7: PWM
• Chapter 8: Motors
• Chapter 9: EEPROM
• Chapter 10: Libraries
• Chapter 11: SPI Bus
• Chapter 12: I2C Bus
• Chapter 13: LCD
• Chapter 14: Servos.
• (source: Nielsen Book Data)

AVR Workshop is a comprehensive introduction to working with the Microchip AVR 8-bit family of microcontrollers - made famous through their use in Arduino and other compatible boards. Whether you're an absolute beginner or longtime electronics enthusiast, this book gives you the latest coding and hardware knowledge required to build over 55 projects. After the author guides you through the basic C programming skills you need to work directly with ATmega328P-PU and ATtiny85 microcontrollers, your operation will be up and running. You'll go from building blinking LEDs and handling various types of user input, to creating real-time clocks, digital thermometers, and even controlling small, motorised devices.
(source: Nielsen Book Data)

"Battery Management System (BMS) is an essential part of any energy storage systems. It controls battery charging, discharging, manages optimum operating conditions, governs the safety limits, runs the battery charge and health algorithms, monitors battery parameters and communicates with other associated devices. BMS or similar monitoring and control system is strongly recommended for other electrical energy systems such as fuel cell, supercapacitor, superbat capacitor or other hybrid combinations of electrical energy storage systems. BMS allows system to be efficient and lets application use the stored energy up to the safe operating limit. It makes energy storage cost effective for short-term application such as consumer electronics. With an efficient control over optimum charge and discharge range, BMS adequately extends the life of energy storage."-- Provided by publisher

• Preface xiii About the Authors xv Part I Introduction 1
• 1 Why Does a Battery Need a BMS? 3 1.1 General Introduction to a BMS 3 1.2 Example of a BMS in a Real System 5 1.3 System Failures Due to the Absence of a BMS 7
• 2 General Requirements (Functions and Features) 11 2.1 Basic Functions of a BMS 11 2.2 Topological Structure of a BMS 16
• 3 General Procedure of the BMS Design 19 3.1 Universal Battery Management System and Customized Battery Management System 19 3.2 General Development Flow of the Power Battery Management System 21 Part II Li-Ion Batteries 27
• 4 Introduction to Li-Ion Batteries 29 4.1 Components of Li-Ion Batteries: Electrodes, Electrolytes, Separators, and Cell Packing 29 4.2 Li-Ion Electrode Manufacturing 31 4.3 Cell Assembly in an Li-Ion Battery 32 4.4 Safety and Cost Prediction 33
• 5 Schemes of Battery Testing 37 5.1 Battery Tests for BMS Development 37 5.2 Capacity and the Charge and Discharge Rate Test 41 5.3 Discharge Rate Characteristic Test 44 5.4 Charge and Discharge Equilibrium Potential Curves and Equivalent Internal Resistance Tests 46 5.5 Battery Cycle Test 49 5.6 Phased Evaluation of the Cycle Process 58
• 6 Test Results and Analysis 67 6.1 Characteristic Test Results and Their Analysis 67 6.2 Degradation Test and Analysis 80
• 7 Battery Modeling 101 7.1 Battery Modeling for BMS 101 7.2 Common Battery Models and Their Deficiencies 102 7.3 External Characteristics of the Li-Ion Power Battery and Their Analysis 105 7.4 A Power Battery Model Based on a Three-Order RC Network 110 7.5 Model Parameterization and Its Online Identification 117 7.6 Battery Cell Simulation Model 124 Part III Functions of BMS 133
• 8 Battery Monitoring 135 8.1 Discussion on Real Time and Synchronization 135 8.2 Battery Voltage Monitoring 139 8.3 Battery Current Monitoring 145 8.4 Temperature Monitoring 149
• 9 SoC Estimation of a Battery 153 9.1 Different Understandings of the SoC Definition 153 9.2 Classical Estimation Methods 158 9.3 Difficulty in an SoC Estimation 162 9.4 Actual Problems to Be Considered During an SoC Estimation 166 9.5 Estimation Method Based on the Battery Model and the Extended Kalman Filter 169 9.6 Error Spectrum of the SoC Estimation Based on the EKF 177
• 10 Charge Control 193 10.1 Introduction 193 10.2 Charging Power Categories 196 10.3 Charge Control Methods 198 10.4 Effect of Charge Control on Battery Performance 203 10.5 Charging Circuits 204 10.6 Infrastructure Development and Challenges 209 10.7 Isolation and Safety Requirement for EC Chargers 211
• 11 Balancing/Balancing Control 213 11.1 Balancing Control Management and Its Significance 213 11.2 Classification of Balancing Control Management 218 11.3 Review and Analysis of Active Balancing Technologies 221 11.4 Balancing Strategy Study 226 11.5 Two Active Balancing Control Strategies 234 11.6 Evaluation and Comparison of Balancing Control Strategies 245
• 12 State of Health (SoH) Estimation of a Battery 257 12.1 Definition and Indices/Parameters of SoH 257 12.2 Modeling of Battery Degradation (Aging) and SoH Estimation 265 12.3 Battery Degradation Diagnosis for EVs 278
• 13 Communication Interface for BMS 291 13.1 BMS Communication Bus and Protocols 293 13.2 Higher-Layer Communication Protocols 298 13.3 A Case Study: Universal CiA EnergyBus for a Low-Emission Vehicle (LEV) 299
• 14 Battery Lifecycle Information Management 301 14.1 Data Type of Power Battery 301 14.2 Vehicle Instrument Data Display 302 14.3 Battery Data Transmission Mode 306 14.4 Information Concerning a Full-Power Battery Lifecycle 311 14.5 Storage and Analysis of Historical Information of a Battery 316 14.6 Battery Detection System Based on a Mobile Terminal 320 Part IV Case Studies 327
• 15 BMS for an E-Bike 329 15.1 Balancing 329 15.2 Battery Pack Design for an E-Bike 331 15.3 Methodology 333 15.4 Active Balancing Solutions 337 15.5 Test Results 341 15.6 Possibility with Active Balancing 349 15.7 Results and Evaluation 349
• 16 BMS for a Fork-Lift 353 16.1 Lithium-Iron-Phosphate Batteries for Fork-Lifts 353 16.2 Battery Management Systems for Fork-Lifts 355 16.3 The LIONIC Battery System for Truck Applications 356 16.4 Application 357 16.5 The Usable Energy Li-Ion Traction Batteries 359
• 17 BMS for a Minibus 363 17.1 Internal Resistance Analysis of a Power Battery System and Discharging Strategy Research of Vehicles 361 17.2 Consistency Evaluation Research of a Power Battery System 377 17.3 Safety Management and Protection of a Power Battery System 386 Index 389.
• (source: Nielsen Book Data)

BATTERY MANAGEMENT SYSTEM AND ITS APPLICATIONS Enables readers to understand basic concepts, design, and implementation of battery management systems Battery Management System and its Applications is an all-in-one guide to basic concepts, design, and applications of battery management systems (BMS), featuring industrially relevant case studies with detailed analysis, and providing clear, concise descriptions of performance testing, battery modeling, functions, and topologies of BMS. In Battery Management System and its Applications, readers can expect to find information on: Core and basic concepts of BMS, to help readers establish a foundation of relevant knowledge before more advanced concepts are introduced Performance testing and battery modeling, to help readers fully understand Lithium-ion batteries Basic functions and topologies of BMS, with the aim of guiding readers to design simple BMS themselves Some advanced functions of BMS, drawing from the research achievements of the authors, who have significant experience in cross-industry research Featuring detailed case studies and industrial applications, Battery Management System and its Applications is a must-have resource for researchers and professionals working in energy technologies and power electronics, along with advanced undergraduate/postgraduate students majoring in vehicle engineering, power electronics, and automatic control.
(source: Nielsen Book Data)

• Preface.- Limbless locomotion introduction (classification and the corresponding locomotive features in nature).- Limbless locomotion control in robotic domain.- Design of a lamprey spinal central pattern generator (CPG).- Limbless locomotion under the lamprey spinal CPG.- Sensory reflex mechanism.- Adaptive limbless locomotion.- Research challenges .
• (source: Nielsen Book Data)

This book presents a bio-inspired hierarchical control scheme step by step toward developing limbless robots capable of 3D locomotion, fast reflex response, as well as sophisticated reaction to environmental stimuli. This interdisciplinary book introduces how to combine biological concept with locomotion control of limbless robots. The special features of the book include limbless locomotion classification and control, design of biological locomotor and the integration of sensory information into the locomotor using artificial intelligence methods, and on-site demonstrations of limbless locomotion in different scenarios. The book is suitable for readers with engineering background, especially for researchers focused on bio-inspired robots.
(source: Nielsen Book Data)

• Intro
• Title Page
• Copyright
• Contents
• Preface
• 1. What Is Biological Intelligence?
• 2. Types of Behavior
• 3. Motor Strategies and Biomechanical Advantages for Diverse Environments
• 4. Identified Neurons and Neuroanatomy
• 5. Physiological Models of Neurons
• 6. Nonlinear Dynamical Models of Neurons
• 7. Synaptic Physiology and Networks
• 8. Neuronal Integration
• 9. Neuromodulation and Behavioral States
• 10. Motor Networks and Central Pattern Generators
• 11. Command Neurons
• 12. Coordinating Systems and Gaits
• 13. Sensory Neurons and Sensory Coding

• 14. Physiology of Muscle
• 15. Types of Motor Systems
• 16. Proprioceptive Reflexes
• 17. Spatial Orientation-Taxes, Kineses, and Exteroceptive Reflexes
• 18. Behavioral Choice and Hierarchies
• 19. Behavioral Sequencing
• 20. Biomimetic Robots
• 21. Power Supplies and Charging
• 22. Control Hardware, Morphing Bodies, and Hulls
• 23. Synthetic Biology and Biohybrid Sensors
• 24. Myomorphic Actuators
• 25. Acoustic Communications and Localization
• 26. Supervision and Motivation
• 27. Reactive Autonomy and Adaptive Sequencing
• 28. Stigmergy and Cooperative Behavior

• 29. Biological Intelligence
• References
• Index

• Zero Carbon Emission Based Electrical Power Plant by Harvesting Oceanic Wave Energy: Minimization of Environmental Impact in Bangladesh
• The Effect of Air Density in Offshore Wind Power Potential in India
• Influence of Vertical Plates on the Pitching Motion of a SPAR Wind Floater in Waves
• Developing a Decision Support System for a Pumped Storage Hybrid Power Plant
• A SWOT Analysis for Offshore Wind Energy Development: Turkey case
• The Combined Effects of Channel Amplitude and Fluid Elasticity on Viscoelastic Fluid Flow Through A Periodic Channel.

Renewable-energy is energy that is collected from renewable resources that are naturally replenished on a human timescale. Renewable-energy includes sources such as sunlight, tides, waves, wind, rain, and geothermal heat. According to BP's-2018 Energy Outlook (EO), renewable energy will be the fastest growing source of energy, increasing fivefold by 2040 thus providing around 14% of global primary energy at this future point. On the other hand, climate change is bringing about rising temperatures, which have significant negative impacts on humans and the environment, and transitioning to renewable energy sources, such as biofuels, can help meet this challenge. Transitioning to renewable energy, and reducing reliance on fossil fuels, is one way to help slow down the effects of climate change. While renewables used to be a more expensive option, new clean energy technologies are lowering costs and helping to move economies away from fossil fuels. The 1st International Conference on Climate Change and Ocean Renewable Energy (CCORE 2022), is a virtual conference held from November 4-7, 2022, presenting experiences and ideas through research talks and presentations from diverse fields in climate change and ocean renewable energy. This event offers a platform in bringing together a forum for students, postdocs and established scientists to exchange their ideas and contribute to an integrative approach to climate change and ocean renewable energy.

• Front Matter
• CONDITION MONITORING. An Introduction to Machinery Monitoring / Robert X Perez
• Centrifugal Pump Monitoring, Troubleshooting and Diagnosis Using Vibration Technologies / William D Marscher
• Proximity Probes are a Good Choice for Monitoring Critical Machinery with Fluid Film Bearings / Robert X Perez
• Optimizing Lubrication and Lubricant Analysis / Jim Fitch, Bennett Fitch
• Troubleshooting Temperature Problems / Robert X Perez
• Assessing Reciprocating Compressors and Engines / Robert X Perez
• Managing Critical Machinery Vibration Data / Robert X Perez
• TROUBLESHOOTING. Addressing Reciprocating Compressor Piping Vibration Problems / Robert X Perez
• Remember to Check the Rotational Speed When Encountering Process Machinery Flow Problems / Robert X Perez
• Troubleshooters Need to be Well Versed in the Equipment They are Evaluating / Robert X Perez
• Precise Coupling Properties are Required to Accurately Predict Torsional Natural Frequencies / Robert X Perez
• Is Vibration Beating on Machinery a Problem? / Robert X Perez, Andrew P Conkey
• RELIABILITY. Using Standby Machinery to Improve Process Reliability / Robert X Perez
• Gas Turbine Drivers / Robert X Perez
• Reliability Improvement Ideas for Integrally Geared Plant Air Compressors / Abdulrahman Alkhowaiter
• Failure Analysis & Design Evaluation of a 500 KW Regeneration Gas Blower / Abdulrahman Alkhowaiter
• Operating Centrifugal Pumps with Variable Frequency Drives in Static Head Applications / Robert X Perez
• Estimating Reciprocating Compressor Gas Flows / Robert X Perez
• Use Your Historical Records to Better Manage Time Dependent Machinery Failure Modes / Robert X Perez
• PROFESSIONAL DEVELOPMENT. Soft Skills and Habits that All Machinery Professionals Need to Develop / Robert X Perez
• Developing Rotating Machinery Competency / Robert X Perez
• About the Editor
• About the Contributors
• Index
• Also of Interest

ROTATING MACHINERY This third volume in a broad collection of current rotating machinery topics, written by industry experts, is a must-have for rotating equipment engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current rotating machinery concepts and technology. Rotating Machinery Fundamentals and Advances represents a broad category of equipment, which includes pumps, compressors, fans, gas turbines, electric motors, internal combustion engines, etc., that are critical to the efficient operation of process facilities around the world. These machines must be designed to move gases and liquids safely, reliably, and in an environmentally friendly manner. To fully understand rotating machinery, owners must be familiar with their associated technologies, such as machine design, lubrication, fluid dynamics, thermodynamics, rotordynamics, vibration analysis, condition monitoring, maintenance practices, reliability theory, and others. The goal of the "Advances in Rotating Machinery" book series is to provide industry practicioners a time-saving means of learning about the most up-to-date rotating machinery ideas and best practices. This three-book series covers industry-relevant topics, such as design assessments, modeling, reliability improvements, maintenance methods and best practices, reliability audits, data collection, data analysis, condition monitoring, and more. Readers will find a good mix of theory and sage experience throughout this book series. Whether for the veteran engineer, a new hire, technician, or other industry professional, this is a must-have for any library. This outstanding new vcolume includes: Machinery monitoring concepts and best practices Optimizing Lubrication and Lubricant Analysis Machinery troubleshooting Reliability improvement ideas Professional development advice.