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用BP网络诊断汽轮发电机组振动故障
引用本文:李勇,曹祖庆.用BP网络诊断汽轮发电机组振动故障[J].东北电力学院学报,1995,15(4):53-58.
作者姓名:李勇  曹祖庆
作者单位:东北电力学院动力工程系,东南大学动力系
摘    要:针对BP网络的不足,提出了自适应学习率的BP网络算法,该算法从根本上解决了BP网络中学习率的取值和收敛速度慢的问题,并有效地解决了BP网络易收剑到局部最小点的问题,并将这种改进的算法应用于汽轮发电机组的故障诊断中,结果表明该方法可行。

关 键 词:神经网络  BP算法  汽轮发电机  故障诊断  振动

Diagnosing Vibration Fault of Turbogenerator Set by Using BP Neural Nets
Li Yong, Zhao Jianwei, Ye Rongxue.Diagnosing Vibration Fault of Turbogenerator Set by Using BP Neural Nets[J].Journal of Northeast China Institute of Electric Power Engineering,1995,15(4):53-58.
Authors:Li Yong  Zhao Jianwei  Ye Rongxue
Abstract:An improved BP networks algorithm with self-adaptive learning rate is proposed which solves fundamentally difficulties of BP nets, i. e., slow convergecy and about how to properly determine the learning rate, and also solves effectively the problem of tending to converge to a local minimum. Two examples for its application in failure diagnosis of TG set are given.
Keywords:neural network BP algorithm turbogenerator set failure diagnosis
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