逐次ファジィ診断法および軸受異常診断への応用

概要

論文の詳細を見る
When developping a fuzzy diagnosis system for machinery condition diagnosis, fuzzy relation between failure symptoms and failure categories must be defined for fuzzy inference. However, it is not easy to search out the failure symptoms by which all failure categories can be distinguished perfectly and automatically. In order to resolve the problem, we proposed: (1) a new type of symptom parameter called "sequence typed symptom parameter", (2) the identification method of the membership function of the symptom parameter, (3) the algorithm of "sequential fuzzy inference" by using the symptom parameters and their membership functions for diagnosis. The efficiency of the above methods has been verified by applying them to the ball bearing diagnosis system and others. In this system of ball bearing diagnosis, the sequence typed symptom parameters are calculated by the "symptom goodness of fit" with spectrum analysis and the results of sequential fuzzy diagnosis showed the correct conclusions when inputting the field data to the system.
一般社団法人日本機械学会の論文
1999-03-25