An Improved Fault Diagnosis Model Based on Fuzzy Logic and Relative Inferiority Degree

Abstract

In order to overcome the imperfection and insufficiency of the conventional fault diagnosis based on fuzzy logic, the concept of relative inferiority degree is introduced to represent the conversion degree from the actual state to failure state. Using the relative inferiority degree as an input to build the membership function of the fuzzy logic, an improved fault diagnosis model based on the fuzzy logic and relative inferiority degree is established. A valid method is presented, and an instance is given to prove this method. It is also implemented by the program, which provides a feasible way for the computer-aided fault diagnosis.