How To Diagnose and Repair Automotive Electrical Systems PDF Download

Author: Tracy Martin
Publisher:
ISBN: 9781610609906
Category : Automobiles
Languages : en
Pages : 164

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Author: Elias G. Strangas
Publisher: John Wiley & Sons
ISBN: 1119722756
Category : Technology & Engineering
Languages : en
Pages : 452

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Book Description
Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives An insightful treatment of present and emerging technologies in fault diagnosis and failure prognosis In Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives, a team of distinguished researchers delivers a comprehensive exploration of current and emerging approaches to fault diagnosis and failure prognosis of electrical machines and drives. The authors begin with foundational background, describing the physics of failure, the motor and drive designs and components that affect failure and signals, signal processing, and analysis. The book then moves on to describe the features of these signals and the methods commonly used to extract these features to diagnose the health of a motor or drive, as well as the methods used to identify the state of health and differentiate between possible faults or their severity. Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives discusses the tools used to recognize trends towards failure and the estimation of remaining useful life. It addresses the relationships between fault diagnosis, failure prognosis, and fault mitigation. The book also provides: A thorough introduction to the modes of failure, how early failure precursors manifest themselves in signals, and how features extracted from these signals are processed A comprehensive exploration of the fault diagnosis, the results of characterization, and how they used to predict the time of failure and the confidence interval associated with it A focus on medium-sized drives, including induction, permanent magnet AC, reluctance, and new machine and drive types Perfect for researchers and students who wish to study or practice in the rea of electrical machines and drives, Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives is also an indispensable resource for researchers with a background in signal processing or statistics.

Author: Jean-Claude Trigeassou
Publisher: John Wiley & Sons
ISBN: 1118601750
Category : Technology & Engineering
Languages : en
Pages : 268

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Book Description
Monitoring and diagnosis of electrical machine faults is a scientific and economic issue which is motivated by objectives for reliability and serviceability in electrical drives. This book provides a survey of the techniques used to detect the faults occurring in electrical drives: electrical, thermal and mechanical faults of the electrical machine, faults of the static converter and faults of the energy storage unit. Diagnosis of faults occurring in electrical drives is an essential part of a global monitoring system used to improve reliability and serviceability. This diagnosis is performed with a large variety of techniques: parameter estimation, state observation, Kalman filtering, spectral analysis, neural networks, fuzzy logic, artificial intelligence, etc. Particular emphasis in this book is put on the modeling of the electrical machine in faulty situations. Electrical Machines Diagnosis presents original results obtained mainly by French researchers in different domains. It will be useful as a guideline for the conception of more robust electrical machines and indeed for engineers who have to monitor and maintain electrical drives. As the monitoring and diagnosis of electrical machines is still an open domain, this book will also be very useful to researchers.

Author: Hamid A. Toliyat
Publisher: CRC Press
ISBN: 1420006282
Category : Technology & Engineering
Languages : en
Pages : 272

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Book Description
With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry. To prevent this, it is important to precisely detect or continuously monitor the working condition of a motor. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis reviews diagnosis technologies and provides an application guide for readers who want to research, develop, and implement a more effective fault diagnosis and condition monitoring scheme—thus improving safety and reliability in electric motor operation. It also supplies a solid foundation in the fundamentals of fault cause and effect. Combines Theoretical Analysis and Practical Application Written by experts in electrical engineering, the book approaches the fault diagnosis of electrical motors through the process of theoretical analysis and practical application. It begins by explaining how to analyze the fundamentals of machine failure using the winding functions method, the magnetic equivalent circuit method, and finite element analysis. It then examines how to implement fault diagnosis using techniques such as the motor current signature analysis (MCSA) method, frequency domain method, model-based techniques, and a pattern recognition scheme. Emphasizing the MCSA implementation method, the authors discuss robust signal processing techniques and the implementation of reference-frame-theory-based fault diagnosis for hybrid vehicles. Fault Modeling, Diagnosis, and Implementation in One Volume Based on years of research and development at the Electrical Machines & Power Electronics (EMPE) Laboratory at Texas A&M University, this book describes practical analysis and implementation strategies that readers can use in their work. It brings together, in one volume, the fundamentals of motor fault conditions, advanced fault modeling theory, fault diagnosis techniques, and low-cost DSP-based fault diagnosis implementation strategies.

Author: James D. Halderman
Publisher: Prentice Hall
ISBN: 9780131133273
Category : Technology & Engineering
Languages : en
Pages : 664

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Book Description
This volume, part of Prentice Hall's Multimedia Series in Automotive Technology, contains the following features: -- CD-ROM with live action video, animation test bank questions with answers, scope waveform library, and a comprehensive glossary. -- Free access to a website with ASE-type questions allows readers to study for the ASE tests at their own pace. -- A worktext with more than 100 lab sheets. -- The use of photo sequences throughout this book.

Author: Irfan, Muhammad
Publisher: IGI Global
ISBN: 1522569901
Category : Technology & Engineering
Languages : en
Pages : 326

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Book Description
The reliability of induction motors is a major requirement in many industrial applications. It is especially important where an unexpected breakdown might result in the interruption of critical services such as military operations, transportation, aviation, and medical applications. Advanced Condition Monitoring and Fault Diagnosis of Electric Machines is a collection of innovative research on various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, and new trends in condition monitoring. It also pays special attention to the fault identification process. While highlighting topics including spectral analysis, electrical engineering, and bearing faults, this book is an ideal reference source for electrical engineers, mechanical engineers, researchers, and graduate-level students seeking current research on various methods of maintaining machinery.

Author: Abdenour Soualhi
Publisher: John Wiley & Sons
ISBN: 1119720575
Category : Technology & Engineering
Languages : en
Pages : 188

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Book Description
Methods of diagnosis and prognosis play a key role in the reliability and safety of industrial systems. Failure diagnosis requires the use of suitable sensors, which provide signals that are processed to monitor features (health indicators) for defects. These features are required to distinguish between operating states, in order to inform the operator of the severity level, or even the type, of a failure. Prognosis is defined as the estimation of a systems lifespan, including how long remains and how long has passed. It also encompasses the prediction of impending failures. This is a challenge that many researchers are currently trying to address. Electrical Systems, a book in two volumes, informs readers of the theoretical solutions to this problem, and the results obtained in several laboratories in France, Spain and further afield. To this end, many researchers from the scientific community have contributed to this book to share their research results.

Author: Howard Penrose
Publisher:
ISBN: 9780971245075
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
Developed for electricians, mechanics, students and reliability managers, Electrical Motor Diagnostics is an essential working tool for the new and experienced Electrical Motor Diagnostics professional. The Second Edition of Electrical Motor Diagnostics provides the information, case studies, and materials necessary to interpret motor circuit analysis, motor current signature analysis, electrical signature analysis, and other standard testing technologies for AC/DC electric motors, transformers, machine tool motors, synchronous motors, and generators including pass/fail values. Information on the development of a motor management program and the SUCCESS by DESIGN Time to Failure Estimation methodology for any technology are covered in detail. Book jacket.

Author: Tunan Shen
Publisher: Springer Nature
ISBN: 3658369922
Category : Technology & Engineering
Languages : en
Pages : 144

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Book Description
Tunan Shen aims to increase the availability of powertrain systems for autonomous electric vehicles by improving the diagnostic capability for critical faults. Following the fault analysis of powertrain systems in battery electric vehicles, the focus is on the electrical and mechanical faults of the electric machine. A multi-level diagnostic approach is proposed, which consists of multiple diagnostic models, such as a physical model, a data-based anomaly detection model, and a neural network model. To improve the overall diagnostic capability, a decision making function is designed to derive a comprehensive decision from the predictions of various operating points and different models.

Author: Janos Gertler
Publisher: Routledge
ISBN: 1351448781
Category : Technology & Engineering
Languages : en
Pages : 512

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Book Description
Featuring a model-based approach to fault detection and diagnosis in engineering systems, this book contains up-to-date, practical information on preventing product deterioration, performance degradation and major machinery damage.;College or university bookstores may order five or more copies at a special student price. Price is available upon request.