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Fault Diagnosis And Prognosis Techniques For Complex Engineering Systems

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems Book
Author : Hamid Reza Karimi
Publisher : Elsevier
Release : 2021-06-14
ISBN : 0128224738
Language : En, Es, Fr & De

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Book Description :

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems. Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers - mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more. Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems Book
Author : Hamid Reza Karimi
Publisher : Academic Press
Release : 2021-06-05
ISBN : 0128224886
Language : En, Es, Fr & De

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Book Description :

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems. Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers – mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more. Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

Diagnostics and Prognostics of Engineering Systems Methods and Techniques

Diagnostics and Prognostics of Engineering Systems  Methods and Techniques Book
Author : Kadry, Seifedine
Publisher : IGI Global
Release : 2012-09-30
ISBN : 146662096X
Language : En, Es, Fr & De

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Book Description :

Industrial Prognostics predicts an industrial system’s lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the system’s performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the method’s effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.

Fault Detection Diagnosis and Prognosis

Fault Detection  Diagnosis and Prognosis Book
Author : Fausto Pedro García Márquez
Publisher : BoD – Books on Demand
Release : 2020-02-05
ISBN : 1789842131
Language : En, Es, Fr & De

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Book Description :

This book presents the main concepts, state of the art, advances, and case studies of fault detection, diagnosis, and prognosis. This topic is a critical variable in industry to reach and maintain competitiveness. Therefore, proper management of the corrective, predictive, and preventive politics in any industry is required. This book complements other subdisciplines such as economics, finance, marketing, decision and risk analysis, engineering, etc. The book presents real case studies in multiple disciplines. It considers the main topics using prognostic and subdiscipline techniques. It is essential to link these topics with the areas of finance, scheduling, resources, downtime, etc. to increase productivity, profitability, maintainability, reliability, safety, and availability, and reduce costs and downtime. Advances in mathematics, modeling, computational techniques, dynamic analysis, etc. are employed analytically. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support the analysis of prognostic problems with defined constraints and requirements. The book is intended for graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance or needing to solve large, specific, and complex maintenance management problems as part of their jobs. The work will also be of interest to researches from academia.

Advances in Condition Monitoring Optimization and Control for Complex Industrial Processes

Advances in Condition Monitoring  Optimization and Control for Complex Industrial Processes Book
Author : Zhiwei Gao,Michael Z. Q. Chen,Dapeng Zhang
Publisher : MDPI
Release : 2021-09-01
ISBN : 3036506888
Language : En, Es, Fr & De

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Book Description :

The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

Bond Graphs for Modelling Control and Fault Diagnosis of Engineering Systems

Bond Graphs for Modelling  Control and Fault Diagnosis of Engineering Systems Book
Author : Wolfgang Borutzky
Publisher : Springer
Release : 2016-12-31
ISBN : 3319474340
Language : En, Es, Fr & De

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Book Description :

This book presents theory and latest application work in Bond Graph methodology with a focus on: • Hybrid dynamical system models, • Model-based fault diagnosis, model-based fault tolerant control, fault prognosis • and also addresses • Open thermodynamic systems with compressible fluid flow, • Distributed parameter models of mechanical subsystems. In addition, the book covers various applications of current interest ranging from motorised wheelchairs, in-vivo surgery robots, walking machines to wind-turbines.The up-to-date presentation has been made possible by experts who are active members of the worldwide bond graph modelling community. This book is the completely revised 2nd edition of the 2011 Springer compilation text titled Bond Graph Modelling of Engineering Systems – Theory, Applications and Software Support. It extends the presentation of theory and applications of graph methodology by new developments and latest research results. Like the first edition, this book addresses readers in academia as well as practitioners in industry and invites experts in related fields to consider the potential and the state-of-the-art of bond graph modelling.

Diagnostic Techniques in Industrial Engineering

Diagnostic Techniques in Industrial Engineering Book
Author : Mangey Ram,J. Paulo Davim
Publisher : Springer
Release : 2017-10-20
ISBN : 3319654977
Language : En, Es, Fr & De

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Book Description :

This book presents the most important tools, techniques, strategy and diagnostic methods used in industrial engineering. The current widely accepted methods of diagnosis and their properties are discussed. Also, the possible fruitful areas for further research in the field are identified.

Reliability Analysis and Asset Management of Engineering Systems

Reliability Analysis and Asset Management of Engineering Systems Book
Author : Gilberto Francisco Martha de Souza,Escola Politécnica da USP,Arthur Henrique De Andrade Melani,Miguel Angelo De Carvalho Michalski,Renan Favarao Da Silva
Publisher : Elsevier
Release : 2021-09-24
ISBN : 0128235225
Language : En, Es, Fr & De

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Book Description :

Reliability Analysis and Asset Management of Engineering Systems explains methods that can be used to evaluate reliability and availability of complex systems, including simulation-based methods. The increasing digitization of mechanical processes driven by Industry 4.0 increases the interaction between machines and monitoring and control systems, leading to increases in system complexity. For those systems the reliability and availability analyses are increasingly challenging, as the interaction between machines has become more complex, and the analysis of the flexibility of the production systems to respond to machinery failure may require advanced simulation techniques. This book fills a gap on how to deal with such complex systems by linking the concepts of systems reliability and asset management, and then making these solutions more accessible to industry by explaining the availability analysis of complex systems based on simulation methods that emphasise Petri nets. Explains how to use a monitoring database to perform important tasks including an update of complex systems reliability Shows how to diagnose probable machinery-based causes of system performance degradation by using a monitoring database and reliability estimates in an integrated way Describes practical techniques for the application of AI and machine learning methods to fault detection and diagnosis problems

NASA Tech Briefs

NASA Tech Briefs Book
Author : Anonim
Publisher : Unknown
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download NASA Tech Briefs book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

The Monte Carlo Methods

The Monte Carlo Methods Book
Author : Abdo Abou Jaoudé
Publisher : BoD – Books on Demand
Release : 2022-03-09
ISBN : 1839687592
Language : En, Es, Fr & De

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Book Description :

In applied mathematics, the name Monte Carlo is given to the method of solving problems by means of experiments with random numbers. This name, after the casino at Monaco, was first applied around 1944 to the method of solving deterministic problems by reformulating them in terms of a problem with random elements, which could then be solved by large-scale sampling. But, by extension, the term has come to mean any simulation that uses random numbers. Monte Carlo methods have become among the most fundamental techniques of simulation in modern science. This book is an illustration of the use of Monte Carlo methods applied to solve specific problems in mathematics, engineering, physics, statistics, and science in general.

Fault Diagnosis of Hybrid Dynamic and Complex Systems

Fault Diagnosis of Hybrid Dynamic and Complex Systems Book
Author : Moamar Sayed-Mouchaweh
Publisher : Springer
Release : 2018-03-27
ISBN : 3319740148
Language : En, Es, Fr & De

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Book Description :

Online fault diagnosis is crucial to ensure safe operation of complex dynamic systems in spite of faults affecting the system behaviors. Consequences of the occurrence of faults can be severe and result in human casualties, environmentally harmful emissions, high repair costs, and economical losses caused by unexpected stops in production lines. The majority of real systems are hybrid dynamic systems (HDS). In HDS, the dynamical behaviors evolve continuously with time according to the discrete mode (configuration) in which the system is. Consequently, fault diagnosis approaches must take into account both discrete and continuous dynamics as well as the interactions between them in order to perform correct fault diagnosis. This book presents recent and advanced approaches and techniques that address the complex problem of fault diagnosis of hybrid dynamic and complex systems using different model-based and data-driven approaches in different application domains (inductor motors, chemical process formed by tanks, reactors and valves, ignition engine, sewer networks, mobile robots, planetary rover prototype etc.). These approaches cover the different aspects of performing single/multiple online/offline parametric/discrete abrupt/tear and wear fault diagnosis in incremental/non-incremental manner, using different modeling tools (hybrid automata, hybrid Petri nets, hybrid bond graphs, extended Kalman filter etc.) for different classes of hybrid dynamic and complex systems.

Intelligent Diagnosis and Prognosis of Industrial Networked Systems

Intelligent Diagnosis and Prognosis of Industrial Networked Systems Book
Author : Chee Khiang Pang,Frank L. Lewis,Tong Heng Lee,Zhao Yang Dong
Publisher : CRC Press
Release : 2017-07-28
ISBN : 1439840598
Language : En, Es, Fr & De

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Book Description :

In an era of intense competition where plant operating efficiencies must be maximized, downtime due to machinery failure has become more costly. To cut operating costs and increase revenues, industries have an urgent need to predict fault progression and remaining lifespan of industrial machines, processes, and systems. An engineer who mounts an acoustic sensor onto a spindle motor wants to know when the ball bearings will wear out without having to halt the ongoing milling processes. A scientist working on sensor networks wants to know which sensors are redundant and can be pruned off to save operational and computational overheads. These scenarios illustrate a need for new and unified perspectives in system analysis and design for engineering applications. Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear mathematical tool sets that can be applied to realistic engineering systems. The book offers an overview of the fundamentals of vectors, matrices, and linear systems theory required for intelligent diagnosis and prognosis of industrial networked systems. Building on this theory, it then develops automated mathematical machineries and formal decision software tools for real-world applications. The book includes portable tool sets for many industrial applications, including: Forecasting machine tool wear in industrial cutting machines Reduction of sensors and features for industrial fault detection and isolation (FDI) Identification of critical resonant modes in mechatronic systems for system design of R&D Probabilistic small-signal stability in large-scale interconnected power systems Discrete event command and control for military applications The book also proposes future directions for intelligent diagnosis and prognosis in energy-efficient manufacturing, life cycle assessment, and systems of systems architecture. Written in a concise and accessible style, it presents tools that are mathematically rigorous but not involved. Bridging academia, research, and industry, this reference supplies the know-how for engineers and managers making decisions about equipment maintenance, as well as researchers and students in the field.

Big Data Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

Big Data Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems Book
Author : Yaguo Lei,Naipeng Li,Xiang Li
Publisher : Springer Nature
Release : 2022-10-19
ISBN : 9811691312
Language : En, Es, Fr & De

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Book Description :

This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era. Features: Addresses the critical challenges in the field of PHM at present Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis Provides abundant experimental validations and engineering cases of the presented methodologies

Resilient Power Electronic Systems

Resilient Power Electronic Systems Book
Author : Saeed Peyghami,Frede Blaabjerg,Shahriyar Kaboli
Publisher : John Wiley & Sons
Release : 2022-08-08
ISBN : 1119772206
Language : En, Es, Fr & De

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Book Description :

Resilient Power Electronic Systems Discover an advanced reference offering a powerful novel approach to the design and use of reliable and fault-tolerant power electronic systems In Resilient Power Electronic Systems, a team of accomplished researchers deliver an insightful treatment of the challenges faced by practitioners and researchers working with power electronic converters and attempting to analyze internal and external failure mechanisms. The authors expertly present advanced techniques for reducing noise effects on fault detection and prognosis. Comprised of thirteen chapters, the authors discuss the concepts of resilience and effective operative life in the context of power electronics. The differences between reliable and efficient systems are discussed, as well as the nature of these differences in complex systems. Finally, the book explores various methods to improve the resilience of power converters. Resilient Power Electronic Systems is packed with features, including illustrations, practice problems, and PowerPoint presentations. The book also includes: A thorough introduction to the application of power electronics in various industries, as well as the concept of resilience in a power converter Comprehensive explorations of resilience against fault tolerance, including fault-tolerant power converters and resilient power converters Practical discussions of the state-of-the-art in resilient power converters, including examinations of mission-critical applications In-depth examinations of internal and external fault in power converters with mission-critical applications Resilient Power Electronic Systems is an indispensable resource for researchers, professionals, and postgraduate students studying power electronics. It’s also an ideal reference for research and development engineers working with the design and development of power electronic converters.

Model based Health Monitoring of Hybrid Systems

Model based Health Monitoring of Hybrid Systems Book
Author : Danwei Wang,Ming Yu,Chang Boon Low,Shai Arogeti
Publisher : Springer Science & Business Media
Release : 2013-05-23
ISBN : 1461473691
Language : En, Es, Fr & De

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Book Description :

This book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosis\prognosis and hybrid bond graph modeling. This book also describes hybrid bond graph-based quantitative fault detection, isolation and estimation. Moreover, it also presents strategies to track the system mode and predict the remaining useful life under multiple fault condition. A real world complex hybrid system—a vehicle steering control system—is studied using the developed fault diagnosis methods to show practical significance. Readers of this book will benefit from easy-to-understand fundamentals of bond graph models, concepts of health monitoring, fault diagnosis and failure prognosis, as well as hybrid systems. The reader will gain knowledge of fault detection and isolation in complex systems including those with hybrid nature, and will learn state-of-the-art developments in theory and technologies of fault diagnosis and failure prognosis for complex systems.

Business Information Systems

Business Information Systems Book
Author : Witold Abramowicz,Adrian Paschke
Publisher : Springer
Release : 2018-07-11
ISBN : 3319939319
Language : En, Es, Fr & De

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Book Description :

This book constitutes the proceedings of the 21st International Conference on Business Information Systems, BIS 2018, held in Berlin, Germany, in July 2018. The BIS conference follows popular research trends, both in the academic and the business domain. Thus the theme of BIS 2018 was "Digital Transformation - An Imperative in Today's Business Markets". The 30 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: big and smart data and artificial intelligence; business and enterprise modeling; ICT project management; process management; smart infrastructures; social media and Web-based business information systems; applications, evaluations, and experiences.

Nuclear Power Plant Equipment Prognostics and Health Management Based on Data driven methods

Nuclear Power Plant Equipment Prognostics and Health Management Based on Data driven methods Book
Author : Jun Wang,Xianping Zhong,Xingang Zhao,Joseph P. Yurko,Shripad T. Revankar
Publisher : Frontiers Media SA
Release : 2021-09-13
ISBN : 2889712990
Language : En, Es, Fr & De

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Book Description :

Download Nuclear Power Plant Equipment Prognostics and Health Management Based on Data driven methods book written by Jun Wang,Xianping Zhong,Xingang Zhao,Joseph P. Yurko,Shripad T. Revankar, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Machine Learning and Knowledge Discovery for Engineering Systems Health Management Book
Author : Ashok N. Srivastava,Jiawei Han
Publisher : CRC Press
Release : 2016-04-19
ISBN : 1439841799
Language : En, Es, Fr & De

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Book Description :

This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

Advances in Engineering Design and Optimization III

Advances in Engineering Design and Optimization III Book
Author : Guo Fu Li,Valery Ya. Shchukin
Publisher : Trans Tech Publications Ltd
Release : 2012-10-26
ISBN : 3038138983
Language : En, Es, Fr & De

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Book Description :

These are the proceedings of the third International Conference on Engineering Design and Optimization (ICEDO 2012), held on May 25-27th 2012 in Shaoxing (P.R. China). Volume is indexed by Thomson Reuters CPCI-S (WoS). The 278 peer-reviewed papers are grouped into 4 chapters: Engineering Design - Theory and Practice; Product Design and Development; Manufacturing Systems Modeling and Optimization; Advanced Machining and Materials Processing Technology

Integrated System Health Management

Integrated System Health Management Book
Author : Jiuping Xu,Lei Xu
Publisher : Academic Press
Release : 2017-05-18
ISBN : 012813268X
Language : En, Es, Fr & De

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Book Description :

ISHM is an innovative combination of technologies and methods that offers solutions to the reliability problems caused by increased complexities in design, manufacture, use conditions, and maintenance. Its key strength is in the successful integration of reliability (quantitative estimation of successful operation or failure), "diagnosibility" (ability to determine the fault source), and maintainability (how to maintain the performance of a system in operation). It draws on engineering issues such as advanced sensor monitoring, redundancy management, probabilistic reliability theory, artificial intelligence for diagnostics and prognostics, and formal validation methods, but also "quasi-technical" techniques and disciplines such as quality assurance, systems architecture and engineering, knowledge capture, information fusion, testability and maintainability, and human factors. This groundbreaking book defines and explains this new discipline, providing frameworks and methodologies for implementation and further research. Each chapter includes experiments, numerical examples, simulations and case studies. It is the ideal guide to this crucial topic for professionals or researchers in aerospace systems, systems engineering, production engineering, and reliability engineering. Solves prognostic information selection and decision-level information fusion issues Presents integrated evaluation methodologies for complex aerospace system health conditions and software system reliability assessment Proposes a framework to perform fault diagnostics with a distributed intelligent agent system and a data mining approach for multistate systems Explains prognostic methods that combine both the qualitative system running state prognostics and the quantitative remaining useful life prediction