一种基于模糊逻辑的非线性系统故障检测与定位的方法

An Approach to Fault Detection and Isolation in Nonlinear System Based on Fuzzy Logic

针对一般非线性系统 ,提出了一种带故障标志的系统故障模糊模型 ,基于此模型给出了一种非线性系统故障检测与定位的新方法 .它采用模糊聚类算法提取故障系统的模糊规则 ,进而完成系统故障的检测与定位 .该方法对噪声污染具有较强的抑制作用 ,对模型误差亦无较高的要求 .

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.