Title :
A Fault Diagnosis Method Based On DTW
Author :
Guo Yuying ; Jiang Bin ; Zhu Zhengwei
Author_Institution :
Southwestern Univ. of Sci. & Technol., Mianyang, China
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;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280640
