STUDY ON RECOGNITION TECHNIQUE OF TIME SERIES ANALYSIS IN FAULT DIAGNOSIS EXPERT SYSTEM

›› 2002, Vol. 38 ›› Issue (3): 104-107.

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STUDY ON RECOGNITION TECHNIQUE OF TIME SERIES ANALYSIS IN FAULT DIAGNOSIS EXPERT SYSTEM

Han Qiushi;Xu Baojie;Wang Hongjun;Fang Peng

Beijing Institute of Machinery

Published:2002-03-15

Abstract

Abstract: The fundamental principle and advantage of a fault diagnosis method using the TSA(Time series analysis) are introduced. The information distance function for rotating machines is established with the AR models. This method is applied in the pattern recognition rule database for fault diagnosis expert system of rotating machine. Furthermore it is validated in the testing equipment.

Key words: Expert system, Fault diagnosis, Large scale rotating machine, Pattern recognition, Time series analysis

CLC Number:

TH113

Han Qiushi;Xu Baojie;Wang Hongjun;Fang Peng. STUDY ON RECOGNITION TECHNIQUE OF TIME SERIES ANALYSIS IN FAULT DIAGNOSIS EXPERT SYSTEM[J]. , 2002, 38(3): 104-107.

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STUDY ON RECOGNITION TECHNIQUE OF TIME SERIES ANALYSIS IN FAULT DIAGNOSIS EXPERT SYSTEM

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