Research on Health Diagnosis Method Based on Fuzzy Sets and Information Fusion

This paper presents a new online health diagnosis method of the mine hoister based on the multi-sensor information fusion and fuzzy sets. A calculating method of the mass function for this system based on the fuzzy set was given. The correlation coefficients are replaced by the membership function using the fuzzy theory. The mass functions are obtained according to the object types. This method is suitable for the online health diagnosis systems. By using the Dempster-Shafer (D-S) evidential theory, the information fusion is carried out. In the end, we used the above methods in the health diagnosis system of the mine hoister. The diagnosis result indicates that these methods can improve the accuracy and reliability of health diagnosis of the mine hoister effectively.