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 .仿真结果表明所提方法对非线性系统的故障可以及时准确地完成检测与定位 Aiming at the general nonlinear system, a fuzzy model of system fault with fault sign is proposed. Based on this model, a new method of fault detection and location in nonlinear system is proposed. It uses fuzzy clustering algorithm to extract the fuzzy rules of the fault system , And then the system fault detection and localization is completed.This method has a strong inhibitory effect on noise pollution and no high requirement on the model error.The simulation results show that the proposed method can detect the fault of the nonlinear system timely and accurately With positioning