Failure Characteristics Analysis and Fault Diagnosis for Liquid Rocket Engines
Failure Characteristics Analysis and Fault Diagnosis for Liquid Rocket Engines
Springer | Mechanical Engineering | June 26, 2016 | ISBN-10: 3662492520 | 395 pages | pdf | 8.72 mb
Springer | Mechanical Engineering | June 26, 2016 | ISBN-10: 3662492520 | 395 pages | pdf | 8.72 mb
Authors: Zhang, Wei
The first book available on the fault characteristic analysis of LRE
Includes detailed modeling program of the LRE whole system with different faults
Involves several applications of artificial neural net (ANN), wavelet analysis, artificial immune system (AIS), fuzzy theory, statistical learning theory, hide-markov model (HMM) in the fault diagnosis of the LRE
Involves several applications of the time series analysis, gray model, support vector machine (SVM) in the fault prediction of the LRE
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.
Number of Illustrations and Tables
92 b/w illustrations, 61 illustrations in colour
Topics
Aerospace Technology and Astronautics
Computational Intelligence
Computer Applications
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