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BP神经网络在机床故障诊断应用中的改进
引用本文:马晓波,刘阔,刘春时,林剑峰.BP神经网络在机床故障诊断应用中的改进[J].制造技术与机床,2011(2).
作者姓名:马晓波  刘阔  刘春时  林剑峰
作者单位:沈阳机床(集团)有限责任公司国家重点实验室,辽宁,沈阳,110142
摘    要:在分析了传统BP神经网络缺点的基础上,对其进行了改进.学习因子按照所设计的函数进行动态调整,增加了势态项,并在激活函数中加入了陡峭因子.将改进的BP神经网络与传统BP神经网络进行了对比,验证了改进BP神经网络的有效性,适合数控机床的故障诊断.

关 键 词:神经网络  数控机床  故障诊断

Improvement on Application of BP Neural Network in Machine Tool's Fault Diagnosis
MA Xiaobo,LIU Kuo,LIU Chunshi,LIN Jianfeng.Improvement on Application of BP Neural Network in Machine Tool's Fault Diagnosis[J].Manufacturing Technology & Machine Tool,2011(2).
Authors:MA Xiaobo  LIU Kuo  LIU Chunshi  LIN Jianfeng
Affiliation:MA Xiaobo,LIU Kuo,LIU Chunshi,LIN Jianfeng(State Key Laboratory,Shenyang Machine Tool(Group) Co.,Ltd.,Shenyang 110142,CHN)
Abstract:On the base of analyzing the traditional BP neural network's disadvantages,improvement method is given.Learning factor is dynamically adjusted according to the designed function,momentum term is added,sharpness factor is added in activation function.The improved BP neural network is compared with traditional BP neural network,the improved BP neural network's validity is verified and is suitable for NC machine's fault diagnosis.
Keywords:BP
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