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Failure characteristics analysis and...

Zhang, Wei.

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Failure characteristics analysis and fault diagnosis for liquid rocket engines

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Failure characteristics analysis and fault diagnosis for liquid rocket engines/ by Wei Zhang.
作者:	Zhang, Wei.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
面頁冊數:	xiv, 401 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Liquid propellant rocket engines - Reliability. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-49254-3
ISBN:	9783662492543

Failure characteristics analysis and fault diagnosis for liquid rocket engines
Zhang, Wei.

Failure characteristics analysis and fault diagnosis for liquid rocket engines[electronic resource] /by Wei Zhang. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xiv, 401 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783662492543

Standard No.: 10.1007/978-3-662-49254-3doiSubjects--Topical Terms:

2195157
Liquid propellant rocket engines
--Reliability.

LC Class. No.: TL783.4

Dewey Class. No.: 621.4356

Failure characteristics analysis and fault diagnosis for liquid rocket engines
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505 0 $a 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.
520 $a 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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