Fault Diagnosis and Prognosis Techniques for Complex Engineering SystemsКНИГИ » ТЕХНИЧЕСКИЕ НАУКИ
Название: Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems Автор: Edited by Hamid Reza Karimi Издательство: Academic Press Год: 2021 Страниц: 421 Размер: 37,03 МБ Формат: PDF Язык: English
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.
Key Features 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 Readership Researchers, graduates, and post-graduate students on mechanical engineering, electrical engineering, control engineering, mechatronics, applied mathematics; and physician
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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems 
