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一种改进的反向传播算法在机械故障模式识别中的应用
引用本文:杜荣华.一种改进的反向传播算法在机械故障模式识别中的应用[J].长沙交通学院学报,1999,15(2):30-34.
作者姓名:杜荣华
作者单位:长沙交通学院,机电工程系,湖南,长沙,410076
摘    要:反向传播算法在机械故障模式识别中得到广泛的应用,但在实践中发现标准的反向传播法的收敛速度不快,模式识别能力有发,针对这些缺点进行改进,提出了一种改进的反向传播算法,大大提高了BP网络的收敛速度和模式识别能力,然后以变速箱故障模式识别为例进行了验证。

关 键 词:神经网络  BP算法  故障模式识别
修稿时间:1998-06-29

Applications of the Improved BP Algorithm to Machinery Fault Diagnosis
DU Rong-hua.Applications of the Improved BP Algorithm to Machinery Fault Diagnosis[J].Journal of Changsha Communications University,1999,15(2):30-34.
Authors:DU Rong-hua
Abstract:The algorithm of the back-propagation neural network has found wide applications in Machinery Fault Diagnosis. However, the generalization velocity and fault identification ability of BP algorithm are restricted in practice. A new improved BP algorithm which enhances the generalization velocity and fault identification ability is proposed in this paper. Finally, the author took fault diagnosis of gearbox as an example.
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