DocumentCode :
1614751
Title :
Fault diagnosis based on grey correlation analysis for autonomous underwater vehicle sensor
Author :
Qilong Jia ; Jinxue Xu ; Guofeng Wang
Author_Institution :
Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
fYear :
2013
Firstpage :
656
Lastpage :
659
Abstract :
An approach of sensor fault diagnosis based on grey correlation analysis for autonomous underwater vehicle is proposed. By analyzing correlation coefficient between fault pattern vector and testing vector, the sensor fault can be diagnosed and isolated. It has the advantage of dismissing the poor information effects. The principle of grey correlation analysis and its implementing steps for sensor fault diagnosis are described in detail. Simulation results demonstrate the effectiveness of the method.
Keywords :
correlation methods; fault diagnosis; grey systems; mobile robots; sensors; underwater vehicles; autonomous underwater vehicle sensor; correlation coefficient; fault pattern vector; fult diagnosis; grey correlation analysis; poor information effect; sensor fault diagnosis; testing vector; Correlation; Data models; Educational institutions; Fault diagnosis; Monitoring; Testing; Vectors; autonomous underwater vehicle; data driven; fault diagnosis; grey correlation analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Chinese Automation Congress (CAC), 2013
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-0332-0
Type :
conf
DOI :
10.1109/CAC.2013.6775816
Filename :
6775816
Link To Document :
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