Fault Diagnosis Using Multisensor Fused Information
Wang Jiang · Mechanical Science and Technology · 2000
This paper mainly discusses the conception of Multisensor data fusion and the Dempster Shafer's evidence theory. The construction of the basic probability assignment function in the Dempster Shafer's model is given to fuse the information from different sensors at the decision level.The theory and the fusion algorithm are used to recognize and classify the faults of a diesel engine. The final results indicate that the multisensor fusion method is stable, reliable ,and can efficiently improve the accuracy and the ability of fault diagnosis.