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