Model-based Health Monitoring of Hybrid Systems
Autor Danwei Wang, Ming Yu, Chang Boon Low, Shai Arogetien Limba Engleză Hardback – 23 mai 2013
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.
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Springer – 23 mai 2013 | 572.65 lei 38-45 zile |
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Specificații
ISBN-13: 9781461473688
ISBN-10: 1461473683
Pagini: 312
Ilustrații: XII, 297 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.61 kg
Ediția:2013
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1461473683
Pagini: 312
Ilustrații: XII, 297 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.61 kg
Ediția:2013
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Health Monitoring of Engineering Systems.- Hybrid Systems and Hybrid Bond Graph Models.- Quantitative Hybrid Bond Graph-based Fault Detection and Isolation.- Fault Identification Techniques.- Mode Tracking Techniques.- Application of Real Time FDI and Fault Estimation to a Vehicle Steering System.- Multiple Failure Prognosis for Hybrid Systems.
Caracteristici
Offers in-depth comprehensive study on health monitoring for hybrid systems
Includes new concepts, such as GARR, mode tracking and multiple failure prognosis
Contains many examples, making the developed techniques easily understandable and accessible
Introduces state-of-the-art algorithms and methodologies from experienced researchers
Includes new concepts, such as GARR, mode tracking and multiple failure prognosis
Contains many examples, making the developed techniques easily understandable and accessible
Introduces state-of-the-art algorithms and methodologies from experienced researchers