遗传神经网络法在风机故障诊断中的应用

Application of Genetic Neural Network Algorithm on The Trouble Diagnosis of Fan

本文在神经网络训练过程中 ,加入一个局部极小判别式 ,以确定网络是否陷入局部极小点 ,若陷入局部极小点 ,则利用遗传算法进行权值修正。以鼓风机常见故障为例 ,应用本文提出的遗传神经网络算法对其进行了故障诊断分析 ,从而证明了该算法的有效性。

Aiming at the problems of slow rate of convergence and falling easily into part minimums in BP algorithm, a new improved genetic BP algorithm was put forward. To determine whether the network fall into part minimum point,a discriminant of part minimum was put forth in the training process of neural network. Genetic algorithm was used to revise the weights of the neural network if the BP algorithm fell into minimums. The blower faults were diagnosed using the algorithm put forward in this paper, which testified the validity of this improved genetic BP algorithm.