DocumentCode
393604
Title
Fault diagnosis system using vector quantization and its application to electromagnetic valve
Author
Zhang, Sheng ; Asakura, Toshiyuki ; Hayashi, Shoji
Author_Institution
Dept. of Intelligent Syst., Fukui Univ., Japan
Volume
1
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
424
Abstract
This paper is concerned with fault diagnosis using vector quantization of sound signals and its application to electromagnetic valves. Instead of establishing a mathematical model, the vector quantization directly extracts characteristic vectors from sample data by optimized algorithms and uses these characteristic vectors as standard patterns to make fault diagnosis. An application to electromagnetic valve verified the effectiveness of this new method.
Keywords
acoustic signal processing; fault diagnosis; optimisation; pattern clustering; pipelines; vector quantisation; Euclidean distance; characteristic vector extraction; dynamic signals; electromagnetic valve; fault diagnosis; mathematical model; optimization; pattern recognition; pipe line systems; sound signal; vector quantization; Clustering algorithms; Employee welfare; Equations; Fault diagnosis; Humans; Mathematical model; Pattern recognition; Pipelines; Valves; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195436
Filename
1195436
Link To Document