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 fusing, and used to achieve fault diagnosis. The simulation and experiment result indicates that the mentioned methods are effective and available.
Citation:
Shilong Xue, "A Fault Diagnosis System Based on Data Fusion Algorithm," icicic, vol. 2, pp.79-83, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006