Title :
A Fault Diagnosis System Based on Data Fusion Algorithm
Author_Institution :
Dept. of Electr. Autom., Shanghai Maritime Univ.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
A fault diagnosis system based on multi-sensor data fusion algorithm, which is composed of local data fusion level and whole data fusion level was presented. The local data fusion level based on opinion distance was proposed to determine the relationships among all of group of multi-sensors. The whole data fusion layer based on fuzzy clustering was applied to implement the multi-sensors data fusion, and used to achieve fault diagnosis. The simulation and experiment result indicates that the mentioned methods are effective and available
Keywords :
decision making; electric propulsion; fault diagnosis; fuzzy reasoning; pattern clustering; sensor fusion; ships; decision making; fault diagnosis system; fuzzy clustering; fuzzy reasoning; marine electric propulsion system; multisensor data fusion algorithm; Automation; Clustering algorithms; Control systems; Fault diagnosis; Fuzzy systems; Propulsion; Real time systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.195
