DocumentCode
3211230
Title
A Fault Diagnosis Method Based On DTW
Author
Guo Yuying ; Jiang Bin ; Zhu Zhengwei
Author_Institution
Southwestern Univ. of Sci. & Technol., Mianyang, China
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
1281
Lastpage
1284
Abstract
A method for fault diagnosis in complex industrial systems is presented to diagnose the definite faults of the continuous multi-variables dynamic processes. This paper introduces dynamic time warping (DTW) algorithm based on pattern identification, combining with fusing principle component analysis (PCA), which can diagnose fault effectively and improve the distinguishability of fault classification.
Keywords
fault diagnosis; pattern classification; principal component analysis; complex industrial systems; continuous multivariables dynamic processes; dynamic time warping; fault classification; fault diagnosis; pattern identification; principle component analysis; Algorithm design and analysis; Educational institutions; Electrical equipment industry; Fault diagnosis; Heuristic algorithms; Pattern analysis; Pattern matching; Principal component analysis; Space technology; Vehicle dynamics; Fault diagnosis; complex industrial systems; dynamic time warping algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280640
Filename
4060290
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