Fault Diagnosis of Vehicular Electric Power Generation and Storage

Fault Diagnosis of Vehicular Electric Power Generation and Storage PDF Author: Hithesh Sanjiva Uliyar
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 69

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Book Description

Fault Diagnosis of Vehicular Electric Power Generation and Storage

Fault Diagnosis of Vehicular Electric Power Generation and Storage PDF Author: Hithesh Sanjiva Uliyar
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 69

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Book Description


Real-time Fault Diagnosis of Automotive Electrical Power Generation and Storage System

Real-time Fault Diagnosis of Automotive Electrical Power Generation and Storage System PDF Author: Luis Frafan-Ramos
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 51

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Book Description
Automobiles depend more and more on electric power. Analysis of warranty data by automotive OEMs shows that faults in the automotive electrical power generation and storage (EPGS) system are often misdiagnosed. Therefore, monitoring of the state of health (SOH) of the automotive EPGS system is vital for early and correct diagnosis of faults in it, ensuring a reliable supply of electric power to the vehicle and reducing maintenance costs. In this research project, a model-based SOH monitoring method for the EPGS system is developed without the requirement of an alternator current sensor. A model representing the dynamic relationship between the battery current and the alternator filed duty voltage cycle is presented. An important model parameter that characterizes the current generation efficiency of the alternator system is adaptively estimated by using a recursive least square algorithm. Based on fault modes and effect analysis, a model-based fault detection and isolation decision scheme is developed for the EPGS system faults under consideration. The SOH monitoring method has been implemented using an EPGS system experimental test bench at GM R and D Center. Real-time evaluation results have shown its effectiveness and robustness.

Model-based Fault Diagnosis of Automotive Electric Power Generation and Storage System

Model-based Fault Diagnosis of Automotive Electric Power Generation and Storage System PDF Author: Weiwu Li
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 224

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Book Description
The Lundell-type alternator and lead acid battery are the two key components of the EPGS system and this thesis dedicates to the detection and isolation of commons faults happening to the alternator sun-system.

Fault Diagnosis for Electric Power Systems and Electric Vehicles

Fault Diagnosis for Electric Power Systems and Electric Vehicles PDF Author: G. Rigatos
Publisher:
ISBN: 9781032864518
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
In the monograph on Fault diagnosis for electric power systems and electric vehicles, the following issues are analyzed: Chapter 1 is on Fault diagnosis with model-based and model-free techniques (Model-based fault diagnosis techniques and Model-free fault diagnosis techniques). Chapter 2 is on Control and fault diagnosis for Synchronous Generator-based renewable energy systems (Control of the marine-turbine and synchronous-generator unit and Fault diagnosis of the marine-turbine and synchronous-generator unit). Chapter 3 is on Fault diagnosis for electricity microgrids and gas processing units (Fault diagnosis for electric power DC microgrids and Fault diagnosis for electrically actuated gas compressors). Chapter 4 is on Fault diagnosis for gas and steam-turbine power generation units (Fault diagnosis for the gas-turbine and Synchronous Generator electric power unit). Finally, Chapter 5 is on Fault diagnosis for wind power units and the distribution grid (Fault diagnosis for wind power generators and Fault diagnosis for the electric power distribution grid).

Condition Monitoring with Vibration Signals

Condition Monitoring with Vibration Signals PDF Author: Hosameldin Ahmed
Publisher: John Wiley & Sons
ISBN: 1119544629
Category : Technology & Engineering
Languages : en
Pages : 456

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Book Description
Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.

Vehicular Electric Power Systems

Vehicular Electric Power Systems PDF Author: Ali Emadi
Publisher: CRC Press
ISBN: 9780824747510
Category : Technology & Engineering
Languages : en
Pages : 520

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Book Description
Vehicular Electric Power Systems: Land, Sea, Air, and Space Vehicles acquaints professionals with trends and challenges in the development of more electric vehicles (MEVs) using detailed examples and comprehensive discussions of advanced MEV power system architectures, characteristics, and dynamics. The authors focus on real-world applications and highlight issues related to system stability as well as challenges faced during and after implementation. Probes innovations in the development of more electric vehicles for improved maintenance, support, endurance, safety, and cost-efficiency in automotive, aerospace, and marine vehicle engineering Heralding a new wave of advances in power system technology, Vehicular Electric Power Systems discusses: Different automotive power systems including conventional automobiles, more electric cars, heavy-duty vehicles, and electric and hybrid electric vehicles Electric and hybrid electric propulsion systems and control strategies Aerospace power systems including conventional and advanced aircraft, spacecraft, and the international space station Sea and undersea vehicles The modeling, real-time state estimation, and stability assessment of vehicular power systems Applications of fuel cells in various land, sea, air, and space vehicles Modeling techniques for energy storage devices including batteries, fuel cells, photovoltaic cells, and ultracapacitors Advanced power electronic converters and electric motor drives for vehicular applications Guidelines for the proper design of DC and AC distribution architectures

15th European Workshop on Advanced Control and Diagnosis (ACD 2019)

15th European Workshop on Advanced Control and Diagnosis (ACD 2019) PDF Author: Elena Zattoni
Publisher: Springer Nature
ISBN: 3030853187
Category : Technology & Engineering
Languages : en
Pages : 1441

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Book Description
This book, published in two volumes, embodies the proceedings of the 15th European Workshop on Advanced Control and Diagnosis (ACD 2019) held in Bologna, Italy, in November 2019. It features contributed and invited papers from academics and professionals specializing in an important aspect of control and automation. The book discusses current theoretical research developments and open problems and illustrates practical applications and industrial priorities. With a focus on both theory and applications, it spans a wide variety of up-to-date topics in the field of systems and control, including robust control, adaptive control, fault-tolerant control, control reconfiguration, and model-based diagnosis of linear, nonlinear and hybrid systems. As the subject coverage has expanded to include cyber-physical production systems, industrial internet of things and sustainability issues, some contributions are of an interdisciplinary nature, involving ICT disciplines and environmental sciences. This book is a valuable reference for both academics and professionals in the area of systems and control, with a focus on advanced control, automation, fault diagnosis and condition monitoring.

Vehicle Electronic Systems and Fault Diagnosis

Vehicle Electronic Systems and Fault Diagnosis PDF Author: J. Jones
Publisher: Routledge
ISBN: 1136899456
Category : Technology & Engineering
Languages : en
Pages : 294

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Book Description
This book gives a sufficient grounding in mechanics for engineers to tackle a significant range of problems encountered in the design and specification of simple structures and machines. It also provides an excellent background for students wishing to progress to more advanced studies in three-dimensional mechanics.

Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives

Fault Diagnosis, Prognosis, and Reliability for Electrical Machines and Drives PDF Author: Elias G. Strangas
Publisher: John Wiley & Sons
ISBN: 1119722780
Category : Technology & Engineering
Languages : en
Pages : 448

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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.

Vehicle Electronic Systems and Fault Diagnosis

Vehicle Electronic Systems and Fault Diagnosis PDF Author: Allan Bonnick
Publisher: Routledge
ISBN: 1136076441
Category : Technology & Engineering
Languages : en
Pages : 417

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Book Description
The average car now contains much more electronic circuitry than would have been the case, even five years ago. This leaves many technicians struggling to keep up with current developments in the repair and maintenance of these electronic systems. Often, texts covering vehicle electronics dwell on unnecessary maths and general electronics principles. This practical guide discusses electronics ony within the context of the vehicle system under consideration and thus keeps theory to a minimum. Using numerous diagrams, photographs and step by step instructions, this book gives a clear description of vehicle electronic systems and fault diagnosos and than continues on to the testing and repair of these systems. Regular reviews and summaries help consolidate learning and make this book ideal for workshop and classroom use.