东华大学学报（英文版）2004，Vol.21Issue(4)：131-138,8.
Application of MBAM Neural Network in CNC Machine Fault Diagnosis
Application of MBAM Neural Network in CNC Machine Fault Diagnosis
宋刚 1胡德金1
作者信息
- 1. Institute of Mechanical Manufacturing Technology & Automation,Shanghai J iaotong University,Shanghai,200030
- 折叠
摘要
Abstract
In order to improve the bidirectional associative memory (BAM) performance, a modified BAM model (MBAM) is used to enhance neural network(NN)'s memory capacity and error correction capability, theoretical analysis and experiment results illuminate that MBAM performs much better than the original BAM. The MBAM is used in computer numeric control(CNC) machine fault diagnosis, it not only can complete fault diagnosis correctly but also have fairly high error correction capability for disturbed Input Information sequence. Moreover MBAM model is a more convenient and effective method of solving the problem of CNC electric system fault diagnosis.关键词
BAM neural network/CNC machine electric system/memory capacity fault diagnosis/Fault tolerance propertyKey words
BAM neural network/CNC machine electric system/memory capacity fault diagnosis/Fault tolerance property分类
信息技术与安全科学引用本文复制引用
宋刚,胡德金..Application of MBAM Neural Network in CNC Machine Fault Diagnosis[J].东华大学学报（英文版）,2004,21(4):131-138,8.
