学术
国际标准刊号：ISSN 1001-0874
国内统一刊号：CN 31-1509
摘 要:
利用粗糙集理论对原始数据进行约简，构建优化的粗糙集-神经网络智能系统。该系统能够提高采煤机故障诊断准确性和效率，有良好的应用前景。[著者文摘]
文章出处:
《煤矿机电》-2007年5期 -57-59页
Colliery Mechanical & Electrical Technology
栏目信息:
文献标识码:
B
文章编号:
1001-0874（2007）05-0057-03
[参考文献]
Fault Diagnosis of Shearer Based on Rough-set Neural Network System
ZHOU Tian-pei, DAI Hong （ Department of Mechanical and Electrical Engineering, Xuzhou College of Industrial Technology, Xuzhou 221140, China）
Abstract:
The reduction of original data based on rough-set theory is derived and the optimized intelligent system with rough-set neural network is established in this paper. The system enhances the accuracy and efficiency of fault diagnosis of shearer and has a good applied prospect.[著者文摘]
Key words:
rough-set ; fauh diagnosis ; BP neural network ; shearer
收稿日期: 2007-05-11
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