故障诊断中模糊神经网络的应用研究

The Research about the Application to the Fault Diagnosis with the Fuzzy Neural Network

文章给出了利用模糊神经网络诊断故障的数学模型、基本原理、方法、步骤 ,和模糊网络的学习流程 ,并利用梯度法推导出两种诊断算法 ;在对某发动机滑油典型故障样本的仿真过程中 ,结果完全正确 ,对非样本故障的仿真 ,准确率达 90 % .

The paper gives the mathematic model, basic principle, method, procedure, and the study flow for fault diagnosis with the fuzzy neural network, it offers two fuzzy diagnosis algorithm with the gradient method. The Engine Lubricating Oil fault diagnosis to the typical samples are simulated, the results are completely correct, to the nontypical samples the veracity reaches 90%.