一种基于神经网络的电路故障诊断方法

A Method of Circuit Fault Diagnosis Based on BP Neural Network of GA-Optimization

本文提出了利用遗传算法优化神经网络各层权值的方法,并以实际电路为例进行了仿真分析,从仿真结果可以看出,本文方法能对电路故障进行准确的诊断,而且具有较强的抗噪声能力,为电路故障的诊断应用提供了一定的有意义的研究;

A method of optimizing Layer weight values of BP Neural Network by GA is presented, and simulation is applied with the actual circuit as an example, from the result of analysis we can see that such a method presented in this paper can make a accurate diagnosis of circuit fault, in addition, it has strong ability to resist the noise which provides certain significant research for the diagnosis of circuit fault.