Intelligent Fault Diagnosis And Health Assessment For Complex Electro Mechanical Systems

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Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

Author : Weihua Li
Publisher : Springer Nature
ISBN 13 : 9819935377
Total Pages : 474 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems by : Weihua Li

Download or read book Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems written by Weihua Li and published by Springer Nature. This book was released on 2023-09-10 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

Author : Yaguo Lei
Publisher : Springer Nature
ISBN 13 : 9811691312
Total Pages : 292 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by : Yaguo Lei

Download or read book Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems written by Yaguo Lei and published by Springer Nature. This book was released on 2022-10-19 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Intelligent Fault Diagnosis and Prognosis for Engineering Systems

Author : George Vachtsevanos
Publisher : Wiley
ISBN 13 : 9780471729990
Total Pages : 0 pages
Book Rating : 4.7/5 (299 download)

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Book Synopsis Intelligent Fault Diagnosis and Prognosis for Engineering Systems by : George Vachtsevanos

Download or read book Intelligent Fault Diagnosis and Prognosis for Engineering Systems written by George Vachtsevanos and published by Wiley. This book was released on 2006-09-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis Intelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment, and also presents strategies to detect faults or incipient failures and predict the remaining useful life of failing components. Case studies are used throughout the book to illustrate enabling technologies. Intelligent Fault Diagnosis and Prognosis for Engineering Systems offers material in a holistic and integrated approach that addresses the various interdisciplinary components of the field--from electrical, mechanical, industrial, and computer engineering to business management. This invaluably helpful book: * Includes state-of-the-art algorithms, methodologies, and contributions from leading experts, including cost-benefit analysis tools and performance assessment techniques * Covers theory and practice in a way that is rooted in industry research and experience * Presents the only systematic, holistic approach to a strongly interdisciplinary topic

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

Author : Yaguo Lei
Publisher : Butterworth-Heinemann
ISBN 13 : 0128115351
Total Pages : 376 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery by : Yaguo Lei

Download or read book Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery written by Yaguo Lei and published by Butterworth-Heinemann. This book was released on 2016-11-02 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to predict the RUL of rotating machinery. Besides experimental demonstrations, many application cases are presented and illustrated to test the methods mentioned in the book. This valuable reference provides an essential guide on machinery fault diagnosis that helps readers understand basic concepts and fundamental theories. Academic researchers with mechanical engineering or computer science backgrounds, and engineers or practitioners who are in charge of machine safety, operation, and maintenance will find this book very useful. Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery, involving fault mechanisms, vibration characteristics, health indicators, and diagnosis and prognostics Presents basic theories, advanced methods, and the latest contributions in the field of intelligent fault diagnosis and RUL prediction Includes numerous application cases, and the methods, algorithms, and models introduced in the book are demonstrated by industrial experiences

Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems

Author : Ruqiang Yan
Publisher : CRC Press
ISBN 13 : 1040026591
Total Pages : 217 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems by : Ruqiang Yan

Download or read book Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems written by Ruqiang Yan and published by CRC Press. This book was released on 2024-06-06 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. The book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.

Fault Detection and Diagnosis of Electro-mechanical Systems Based on Real-time Data

Author : Yue Chao
Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (258 download)

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Book Synopsis Fault Detection and Diagnosis of Electro-mechanical Systems Based on Real-time Data by : Yue Chao

Download or read book Fault Detection and Diagnosis of Electro-mechanical Systems Based on Real-time Data written by Yue Chao and published by . This book was released on 2008 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of our research is to build a computer-based system that utilized real-time operating data to detect and diagnose malfunction in electro-mechanical systems. The methodology is to use assessment chart, which uses small number of data and control chart, to evaluate the performance of mechanical system. This method can be applied to a subsystem or be extended to the entire electro-mechanical systems. In order to achieve our research goal, our system is implemented in the following steps: 1) build a model which can characterize a mechanical system, 2) review the expert experience and control strategy of such a mechanical system to establish the assessment chart based FDD system, 3) monitor the actual status of the system in real time to assure the system is operating efficiently, and 4) make decision on the collected real-time data to detect any abnormality in the performance of the target system. This approach is applied to a real building HVAC system with genuine data. The result of our experiment shows that our strategy successfully detects most of faults introduced in the building system.

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Author : Hamid Reza Karimi
Publisher : Academic Press
ISBN 13 : 0128224886
Total Pages : 421 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems by : Hamid Reza Karimi

Download or read book Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems written by Hamid Reza Karimi and published by Academic Press. This book was released on 2021-06-05 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Big Data-driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

Author : 雷亚国
Publisher :
ISBN 13 : 9787569328028
Total Pages : 0 pages
Book Rating : 4.3/5 (28 download)

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Book Synopsis Big Data-driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by : 雷亚国

Download or read book Big Data-driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems written by 雷亚国 and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Predictive Maintenance

Author : Min Liu
Publisher : Springer Nature
ISBN 13 : 9819726778
Total Pages : 477 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Intelligent Predictive Maintenance by : Min Liu

Download or read book Intelligent Predictive Maintenance written by Min Liu and published by Springer Nature. This book was released on with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Fault Diagnosis and Accommodation Control

Author : Sunan Huang
Publisher : CRC Press
ISBN 13 : 0429558910
Total Pages : 173 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Intelligent Fault Diagnosis and Accommodation Control by : Sunan Huang

Download or read book Intelligent Fault Diagnosis and Accommodation Control written by Sunan Huang and published by CRC Press. This book was released on 2020-03-17 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control systems include many components, such as transducers, sensors, actuators and mechanical parts. These components are required to be operated under some specific conditions. However, due to prolonged operations or harsh operating environment, the properties of these devices may degrade to an unacceptable level, causing more regular fault occurrences. It is therefore necessary to diagnose faults and provide the fault-accommodation control which compensates for the fault of the component by substituting a configuration of redundant elements so that the system continues to operate satisfactorily. In this book, we present a result of several years of work in the area of fault diagnosis and fault-accommodation control. It aims at information estimate methods when faults occur. The book uses the model built from the plant or process, to detect and isolate failures, in contrast to traditional hardware or statistical technologies dealing with failures. It presents model-based learning and design technologies for fault detection, isolation and identification as well as fault-tolerant control. These models are also used to analyse the fault detectability and isolability conditions and discuss the stability of the closed-loop system. It is intended to report new technologies in the area of fault diagnosis, covering fault analysis and control strategies of design for various applications. The book addresses four main schemes: modelling of actuator or sensor faults; fault detection and isolation; fault identification, and fault reconfiguration (accommodation) control. It also covers application issues in the monitoring control of actuators, providing several interesting case studies for more application-oriented readers.

Online Probabilistic Risk Assessment of Complex Marine Systems

Author : Tarannom Parhizkar
Publisher : Springer Nature
ISBN 13 : 3030880982
Total Pages : 170 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Online Probabilistic Risk Assessment of Complex Marine Systems by : Tarannom Parhizkar

Download or read book Online Probabilistic Risk Assessment of Complex Marine Systems written by Tarannom Parhizkar and published by Springer Nature. This book was released on 2021-11-26 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a new approach to dynamic and online risk assessment of automated and autonomous marine systems, taking into account different environmental and operational conditions. The book presents lessons learnt from dynamic positioning incidents and accidents, and discusses the challenges of risk assessment of complex systems. The book begins by introducing dynamic and online risk assessment, before presenting automated and autonomous marine systems, as well as numerous dynamic positioning incidents. It then discusses human interactions with technology and explores how to quantify human error. Dynamic probabilistic risk assessment and online risk assessment are both considered fully, including case studies with the application of assisting operators in decision making in emergency situations. Finally, areas for future research are suggested. This practical volume offers tools and methodologies to help operators make better decisions and improve the safety of automated and autonomous marine systems. It provides a guideline for researchers and practitioners to perform dynamic probabilistic and online risk assessment, which also should be applicable to other complex systems outside the marine and maritime domain, such as nuclear power plants, chemical processes, autonomous transport systems, and space shuttles.

Computational Intelligence in Fault Diagnosis

Author : Vasile Palade
Publisher : Springer Science & Business Media
ISBN 13 : 184628631X
Total Pages : 374 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Computational Intelligence in Fault Diagnosis by : Vasile Palade

Download or read book Computational Intelligence in Fault Diagnosis written by Vasile Palade and published by Springer Science & Business Media. This book was released on 2006-12-22 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques. It focuses on computational intelligence applications to fault diagnosis with real-world applications used in different chapters to validate the different diagnosis methods. The book includes one chapter dealing with a novel coherent fault diagnosis distributed methodology for complex systems.

Fault Diagnosis

Author : Józef Korbicz
Publisher : Springer Science & Business Media
ISBN 13 : 9783540407676
Total Pages : 970 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Fault Diagnosis by : Józef Korbicz

Download or read book Fault Diagnosis written by Józef Korbicz and published by Springer Science & Business Media. This book was released on 2004 with total page 970 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many basic approaches of fault detection.

The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering

Author : Weijiang Chen
Publisher : Springer Nature
ISBN 13 : 9813366095
Total Pages : 879 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering by : Weijiang Chen

Download or read book The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering written by Weijiang Chen and published by Springer Nature. This book was released on 2021-04-20 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the original, peer-reviewed research papers from the 9th Frontier Academic Forum of Electrical Engineering (FAFEE 2020), held in Xi’an, China, in August 2020. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers including electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equipment, biological electromagnetism and its applications, and insulation and discharge computation for power equipment. Given its scope, the book benefits all researchers, engineers, and graduate students who want to learn about cutting-edge advances in Electrical Engineering.

Fault-Diagnosis Systems

Author : Rolf Isermann
Publisher : Springer Science & Business Media
ISBN 13 : 3540303685
Total Pages : 478 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Fault-Diagnosis Systems by : Rolf Isermann

Download or read book Fault-Diagnosis Systems written by Rolf Isermann and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The book gives an introduction into advanced methods of fault detection and diagnosis (FDD). After definitions of important terms, it considers the reliability, availability, safety and systems integrity of technical processes. Then fault-detection methods for single signals without models such as limit and trend checking and with harmonic and stochastic models, such as Fourier analysis, correlation and wavelets are treated. This is followed by fault detection with process models using the relationships between signals such as parameter estimation, parity equations, observers and principal component analysis. The treated fault-diagnosis methods include classification methods from Bayes classification to neural networks with decision trees and inference methods from approximate reasoning with fuzzy logic to hybrid fuzzy-neuro systems. Several practical examples for fault detection and diagnosis of DC motor drives, a centrifugal pump, automotive suspension and tire demonstrate applications.

Intelligent Fault Detection and Diagnosis of Mechanical-pneumatic Systems

Author : Xiaolin Li
Publisher :
ISBN 13 :
Total Pages : 270 pages
Book Rating : 4.:/5 (434 download)

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Book Synopsis Intelligent Fault Detection and Diagnosis of Mechanical-pneumatic Systems by : Xiaolin Li

Download or read book Intelligent Fault Detection and Diagnosis of Mechanical-pneumatic Systems written by Xiaolin Li and published by . This book was released on 2005 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Urban Intelligence and Applications

Author : Xiaohui Yuan
Publisher : Springer Nature
ISBN 13 : 9813346019
Total Pages : 269 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Urban Intelligence and Applications by : Xiaohui Yuan

Download or read book Urban Intelligence and Applications written by Xiaohui Yuan and published by Springer Nature. This book was released on 2020-12-18 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised papers from the Second International Conference on Urban Intelligence and Applications, ICUIA 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. The 26 papers were thoroughly reviewed and selected from 122 submissions. They are organised in the topical sections on technology and infrastructure; community and wellbeing; mobility and transportation; security, safety, and emergency management.