Failure Characteristics Analysis and Fault Diagnosis for Liquid Rocket Engines (eBook, PDF) - Zhang, Wei
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This book concentrates on the subject of health monitoring technology of Liquid Rocket Engine (LRE), including its failure analysis, fault diagnosis and fault prediction. Since no similar issue has been published, the failure pattern and mechanism analysis of the LRE from the system stage are of particular interest to the readers. Furthermore, application cases used to validate the efficacy of the fault diagnosis and prediction methods of the LRE are different from the others. The readers can learn the system stage modeling, analyzing and testing methods of the LRE system as well as…mehr

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Produktbeschreibung
This book concentrates on the subject of health monitoring technology of Liquid Rocket Engine (LRE), including its failure analysis, fault diagnosis and fault prediction. Since no similar issue has been published, the failure pattern and mechanism analysis of the LRE from the system stage are of particular interest to the readers. Furthermore, application cases used to validate the efficacy of the fault diagnosis and prediction methods of the LRE are different from the others. The readers can learn the system stage modeling, analyzing and testing methods of the LRE system as well as corresponding fault diagnosis and prediction methods. This book will benefit researchers and students who are pursuing aerospace technology, fault detection, diagnostics and corresponding applications.
Autorenporträt
Wei Zhang received the specialized M.S. degrees in mechanics from Xi’an Jiaotong University in 1995, and the Ph.D. degrees in ordnance science and technology from Xi’an High-tech institute, Shaanxi, China, in 2003. He is currently a Professor of aeronautical science and technology in Xi’an High-tech institute, Shaanxi, China. His research interests include non-destructive testing technology, condition monitoring, fault diagnosis and signal processing. He is one of the fifth executive directors of the fault diagnosis professional committee in the Chinese Society of Vibration Engineering. The funding of the projects he has involved or been responsible for has exceeded $ 1000,000. He has published 3 books and about 150 papers. Many papers have been indexed by SCI and EI.

Gan Tian received the B.S. degrees in mechanics from Xi’an High-tech institute, Shaanxi, China, in 2003, and the specialized M.S. degrees in aeronautical and astronautical science and technology from Xi’an High-tech institute, Shaanxi, China, in 2009. He is currently a Lecturer of aeronautical science and technology in Xi’an High-tech institute, Shaanxi, China. His research interests include non-destructive testing technology and fault diagnosis.

Zhigao Xu received the B.S. degrees in mechanics from Xi’an High-tech institute, Shaanxi, China, in 1999, the specialized M.S. degrees in aeronautical and astronautical science and technology from Xi’an High-tech institute, Shaanxi, China, in 2003 and the Ph.D. degrees in ordnance science and technology from Xi’an High-tech institute, Shaanxi, China, in 2009. He is currently an Associate Professor of aeronautical science and technology in Xi’an High-tech institute, Shaanxi, China. His research interests include fault diagnosis and signal processing.

Zhengwei Yang received the B.S. degrees in mechanics from Xi’an High-tech institute, Shaanxi, China, in 2005, and the Ph.D. degrees in ordnance science and technology from Xi’an High-tech institute, Shaanxi, China, in 2011. He is currently a Lecturer of aeronautical science and technology in Xi’an High-tech institute, Shaanxi, China. His research interests include non-destructive testing technology, condition monitoring, and signal processing.
Rezensionen
"This book is best classified as an exercise in applied mathematics; it presents various mathematical methods that can be applied to the problem of fault diagnostics in liquid-fueled rocket engines. The techniques include those based on neural networks, wavelet transforms, fuzzy sets, statistical learning theory, hidden Markov models, and time series analysis. ... Summing Up: Recommended. Professionals and practitioners only." (A. M. Strauss, Choice, Vol. 54 (4), December, 2016)