Study on Neural Network of Circuit Failure Diagnosis System

Chenghui Yang, Jianjun Meng, Wenzhe Qi
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引用次数: 2

Abstract

Combining the failure practical example, neural network analysis is used for diagnosis. Using the neural network in MATLAB to simulate the circuit fault system, this is using two different kinds of training functions. For the better analysis of failure diagnosis problems, firstly, using MATLAB software to simulate failure problems such as the emergence of regular power, short circuit and broken circuit. Through the training functions traingdm training function and trainglm training function, then, we get the conclusion that which function is better for the diagnoses of circuit failure, and the importance of the simulation of the circuit failure system.
电路故障诊断系统的神经网络研究
结合故障实例,采用神经网络分析方法进行故障诊断。利用MATLAB中的神经网络来模拟电路故障系统,这是采用了两种不同的训练函数。为了更好的分析故障诊断问题,首先利用MATLAB软件对出现的常规断电、短路、断路等故障问题进行仿真。通过训练函数trainingdm训练函数和traininglm训练函数,得出了哪种训练函数更适合于电路故障的诊断,以及电路故障系统仿真的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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