Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems write by Rui Yang. This book was released on 2022-06-16. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems available in PDF, EPUB and Kindle. This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.
Fault Diagnosis
Fault Diagnosis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fault Diagnosis write by Józef Korbicz. This book was released on 2012-12-06. Fault Diagnosis available in PDF, EPUB and Kindle. 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.
Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
Filter-Based Fault Diagnosis and Remaining Useful Life Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Filter-Based Fault Diagnosis and Remaining Useful Life Prediction write by Yong Zhang. This book was released on 2023-02-10. Filter-Based Fault Diagnosis and Remaining Useful Life Prediction available in PDF, EPUB and Kindle. This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.
Fault Detection and Diagnosis in Engineering Systems
Fault Detection and Diagnosis in Engineering Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fault Detection and Diagnosis in Engineering Systems write by Janos Gertler. This book was released on 2017-11-22. Fault Detection and Diagnosis in Engineering Systems available in PDF, EPUB and Kindle. 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.
Knowledge-Driven Board-Level Functional Fault Diagnosis
Knowledge-Driven Board-Level Functional Fault Diagnosis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge-Driven Board-Level Functional Fault Diagnosis write by Fangming Ye. This book was released on 2016-08-19. Knowledge-Driven Board-Level Functional Fault Diagnosis available in PDF, EPUB and Kindle. This book provides a comprehensive set of characterization, prediction, optimization, evaluation, and evolution techniques for a diagnosis system for fault isolation in large electronic systems. Readers with a background in electronics design or system engineering can use this book as a reference to derive insightful knowledge from data analysis and use this knowledge as guidance for designing reasoning-based diagnosis systems. Moreover, readers with a background in statistics or data analytics can use this book as a practical case study for adapting data mining and machine learning techniques to electronic system design and diagnosis. This book identifies the key challenges in reasoning-based, board-level diagnosis system design and presents the solutions and corresponding results that have emerged from leading-edge research in this domain. It covers topics ranging from highly accurate fault isolation, adaptive fault isolation, diagnosis-system robustness assessment, to system performance analysis and evaluation, knowledge discovery and knowledge transfer. With its emphasis on the above topics, the book provides an in-depth and broad view of reasoning-based fault diagnosis system design. • Explains and applies optimized techniques from the machine-learning domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing;• Demonstrates techniques based on industrial data and feedback from an actual manufacturing line;• Discusses practical problems, including diagnosis accuracy, diagnosis time cost, evaluation of diagnosis system, handling of missing syndromes in diagnosis, and need for fast diagnosis-system development.
