A Fault Diagnosis System Based on Data Fusion Algorithm

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 who...

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Bibliographic Details
Published inICICIC 2006 : First International Conference on Innovative Computing, Information and Control : 30 August-1 September, 2006, Beijing, China Vol. 2; pp. 79 - 83
Main Author Shilong Xue
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Automation
Clustering algorithms
Control systems
Fault diagnosis
Fuzzy systems
Propulsion
Real time systems
Sensor fusion
Sensor phenomena and characterization
Sensor systems
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ISBN0769526160
9780769526164
DOI10.1109/ICICIC.2006.195

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Summary: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
ISBN:0769526160
9780769526164
DOI:10.1109/ICICIC.2006.195