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基于BP神经网络的故障诊断技术在装备维修中的应用
引用本文:潘亚楠,李晶.基于BP神经网络的故障诊断技术在装备维修中的应用[J].舰船电子工程,2010,30(10):138-140.
作者姓名:潘亚楠  李晶
作者单位:海军704厂,青岛,266109
摘    要:传统故障诊断方法在装备保障中的诸多局限性。文章介绍了基于BP模型的神经网络,研究了基于BP模型神经网络的故障诊断推理方法,并利用Matlab仿真软件对结果进行了运行和计算。结果证明,基于BP神经网络的故障诊断技术对装备故障诊断是行之有效的。

关 键 词:BP神经网络  故障诊断  诊断推理

Application of Fault Diagnosis in Equipment Maintenance Based on BP Neural Network
Pan Yanan,Li Jing.Application of Fault Diagnosis in Equipment Maintenance Based on BP Neural Network[J].Ship Electronic Engineering,2010,30(10):138-140.
Authors:Pan Yanan  Li Jing
Institution:Pan Yanan Li Jing(Navy 704 Factory,Qingdao 266109)
Abstract:Traditional fault diagnosis method has many limitations in the equipment support.The articel introduces the model based on BP neural network,and research the fault diagnosis reasoning method based on BP neural network,and use the results of Matlab simulation software to run and calculated.The results show that fault diagnosis technology based on BP neural network is effective.
Keywords:BP neural network(BPNN)  fault dignosis  diagnostic reasoning
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