Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion
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Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion
Vol. 23, Issue 1, (2008)
作者机构:
南京航空航天大学 能源与动力学院,南京,210016
作者简介:
基金信息:
DOI:
CLC:
Published:2008
稿件说明:
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ZHAO Shi-rong, HUANG Xiang-hua. Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion[J]. 2008, 23(1).
DOI:
ZHAO Shi-rong, HUANG Xiang-hua. Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion[J]. 2008, 23(1).DOI:
Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion
A fault diagnosis method for aeroengine gas path components
which was based on the technology of neural network multisensor data fusion and combined application of fuzzy logical theory
was studied in the paper.And this method was employed in simulation analysis of a given turbo-shaft engine.The whole diagnosis process of this method is simple and high accuracy of modeling is not required.Fault alarm
mistaken report and false positive can be reduced.