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Failure Characteristics Analysis and Fault Diagnosis for Liquid Rocket Engines [electronic resource] / by Wei Zhang.

By: Zhang, Wei [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016Description: XIV, 401 p. 153 illus., 61 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662492543.Subject(s): Engineering | Application software | Computational intelligence | Aerospace engineering | Astronautics | Engineering | Aerospace Technology and Astronautics | Computational Intelligence | Computer ApplicationsAdditional physical formats: Printed edition:: No titleDDC classification: 629.1 Online resources: Click here to access online
Contents:
Introduction -- Failure pattern and corresponding mechanism analysis of liquid Rocket engines (LRE) -- Analysis method of failure model for LRE -- Failure characteristics analysis of LRE -- Fault diagnosis of LRE based on artificial neural net -- Fault diagnosis method based on Wavelet transform -- Fault diagnosis method based on artificial immune system -- Fault diagnosis method based on fuzzy theory -- Fault analysis and diagnosis method based on statistical learning theory -- Fault diagnosis method based on hide Markov model -- Fault prediction method of LRE.
In: Springer eBooksSummary: 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.
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Introduction -- Failure pattern and corresponding mechanism analysis of liquid Rocket engines (LRE) -- Analysis method of failure model for LRE -- Failure characteristics analysis of LRE -- Fault diagnosis of LRE based on artificial neural net -- Fault diagnosis method based on Wavelet transform -- Fault diagnosis method based on artificial immune system -- Fault diagnosis method based on fuzzy theory -- Fault analysis and diagnosis method based on statistical learning theory -- Fault diagnosis method based on hide Markov model -- Fault prediction method of 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.

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