| 概率神经网络在电机故障诊断中的应用 |
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| 引用本文： | 王豪,郑恩让. 概率神经网络在电机故障诊断中的应用[J]. 化工自动化及仪表, 2010, 37(8): 59-62 |
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| 作者姓名： | 王豪 郑恩让 |
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| 作者单位： | 陕西科技大学,电气与信息工程学院,西安,710021 |
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| 摘 要： | 针对传统故障诊断方法的局限性,提出一种基于概率神经网络的诊断方法。以异步电机转子故障为例进行了故障诊断研究,通过选择故障样本来训练神经网络,将代表故障的信息输入训练好的神经网络后,由输出结果就可以判断发生的故障种类。仿真实验结果表明了基于概率神经网络的电机故障诊断方法的正确性。
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| 关 键 词： | 故障诊断 概率神经网络 模式分类 转子故障 |
Application of Probabilistic Neural Network in Motor Fault Diagnosis |
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| WANG Hao,ZHENG En-rang. Application of Probabilistic Neural Network in Motor Fault Diagnosis[J]. Control and Instruments In Chemical Industry, 2010, 37(8): 59-62 |
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| Authors: | WANG Hao ZHENG En-rang |
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| Affiliation: | (College of Electric and Information Engineering,Shaanxi University of Science and Technology,Xi＇an 710021,China) |
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| Abstract: | For the limitations of the traditional fault diagnosis,a method based on probabilistic neural network diagnosis was proposed.The fault diagnosis study was done by choosing the induction motor rotor fault as an example and the neural network was trained by selecting the fault samples.The fault information was inputted into the trained neural network,and then the system could determine the incidence of failure types according to the output.The simulation results show that the method of the probabilistic neural network based motor fault diagnosis is feasible. |
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| Keywords: | failure diagnosis probabilistic neural network pattern classification rotor fault |
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