Fault diagnosis of the reciprocating compressor based on integrated rough sets and fuzzy neural network

被引：0
|
作者：
Du, Haifeng [1 ]
Wang, Sunan [1 ]
Ding, Guofeng [1 ]
机构：
[1] Sch. of Mech. Eng., Xi'an Jiaotong Univ., Xi'an 710049, China
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2001年 / 35卷 / 09期
关键词：
Artificial intelligence - Compressors - Failure (mechanical) - Fuzzy sets - Intelligent control - Rough set theory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Based on complementary strategies, a new AI method was put forward to solve the fault diagnosis of the multilevel reciprocating compressor. Using rough set theory to enrich the data, then exploiting fuzzy neural network(FNN) to perform diagnosing, the diagnosing rules could be obtained from the network. Additionally, a new FNN approach method and a criterion about the data enriching were presented. The correctness and the effectiveness were showed in the experiment.
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收藏
页码：940 / 944
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