首页 | 本学科首页   官方微博 | 高级检索  
     

人工神经网络用于采煤机故障诊断系统初探
引用本文:樊淑趁 耿麦香. 人工神经网络用于采煤机故障诊断系统初探[J]. 山西矿业学院学报, 1996, 14(3): 204-208
作者姓名:樊淑趁 耿麦香
作者单位:测试技术研究所(樊淑趁),计算机工程系(耿麦香)
摘    要:分析了典型的有导师监督模型BP网络、无导师监督模型ART网络的工作过程,探讨了将这两种神经网络应用于采煤机故障诊断的可能性

关 键 词:故障诊断;人工神经网络;采煤机

An initial study on the application of artificial neural networks in the fault diagnosis system of the shearer
Fan Shuchen Geng Maixiang. An initial study on the application of artificial neural networks in the fault diagnosis system of the shearer[J]. , 1996, 14(3): 204-208
Authors:Fan Shuchen Geng Maixiang
Abstract:The working process of two typical neural networks,i.e., the BP network and the ART network, was analyzed in the paper. The possibility was explored of applying these two neural networks to the fault diagnosis system of the shearer.
Keywords:fault diagnosis  artificial neural networks  shearer
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号