DocumentCode :
1571927
Title :
The research on sensor fault diagnosis based on the SVM prediction model
Author :
Yu, Yaojun ; Zhang, Shengbo
Author_Institution :
Coll. of Machinery & Mater. Eng., Jiujiang Univ., Jiujiang, China
Volume :
2
fYear :
2011
Firstpage :
990
Lastpage :
992
Abstract :
A novel method for sensor fault diagnosis based on support vector machine (SVM) prediction model was proposed. This paper put forward the principle of SVM construction process and the system parameters obtained from using dynamic model identification of sensor. The sensor fault was diagnosed on line by prediction model, which avoided that BP algorithm must have mass data and is likely to fall into local minimum point. Compared to the traditional way, it was much more effective and accurately.
Keywords :
computerised instrumentation; fault diagnosis; sensors; support vector machines; BP algorithm; SVM construction process; SVM prediction model; dynamic model identification; sensor fault diagnosis; support vector machine; Gold; Predictive models; Pumps; Support vector machines; dynamic model; fault diagnosis; sensor; support vector machine (SVM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2011
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9792-8
Type :
conf
DOI :
10.1109/CSQRWC.2011.6037123
Filename :
6037123
Link To Document :
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