Fault Diagnosis of Gas Turbine based on Fuzzy Matrix and the Principle of Maximum Membership Degree

AbstractThis paper presents the method of building gas turbine fault diagnosis fuzzy mathematical model and establishes fuzzy diagnosis matrix R between fault causations and symptoms. Using fuzzy matrix and the principle of maximum membership degree diagnose gas turbine's faults. Based on the data in actual operation condition of gas turbine, fuzzy diagnosis matrix is proposed. Use the method of maximum membership degree to establish the connectional equation and confirm the membership degree relationship between fault symptoms and causations. Then, according to the size of membership degree between symptoms and causations to detect and eliminate faults of gas turbine. The results have shown this fuzzy mathematics method has reliable and suitable defect estimation accuracy of gas turbine engine in actual and complex environment