MACHINE FAULT CLASSIFICATION - A NEURAL NETWORK APPROACH

被引：35

作者：

KNAPP, GM

WANG, HP

机构：

[1] Department of lndustrial Engineering, The University of Iowa, IA

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1992年 / 30卷 / 04期

关键词：

D O I：

10.1080/00207543.1992.9728458

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a neural network approach for machine fault diagnosis. Specifically, two tasks are explained and discussed: (1) a neural network-based machine fault diagnosis model is developed using the back propagation (BP) learning paradigm; (2) network training efficiency is studied by varying the learning rate and learning momentum of the activation function. The results are presented and discussed.

引用

页码：811 / 823

页数：13

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