An Approach to Fault Detection and Isolation in Nonlinear System Based on Fuzzy Logic
一种基于模糊逻辑的非线性系统故障检测与定位的方法

A new fuzzy model with symbols for faults in system is proposed. Further, based on this model, a new method for fault detection and location in nonlinear systems is developed. The method extracts fuzzy rules by fuzzy cluster algorithms to perform fault diagnosis. It can be still efficient when there exist noise and model error. Finally, the simulation results demonstrate the effectiveness and feasibility of the proposed method.