机电工程技术Issue(10)：71-76,6.DOI:10.3969/j.issn.1009-9492.2013.10.021
基于粗糙集理论的往复压缩机规则提取方法研究*
A Research for Rule Acquisition of Reciprocating Compressor Based on Theory of Rough Set
侯超伟 1马波 1申大鹏 2刘勇 3陈明华4
作者信息
- 1. 北京化工大学诊断与自愈研究中心，北京 100029
- 2. 赛鼎工程有限公司，山西太原 030032
- 3. 北京化工大学信息学院，北京 100029
- 4. 中海石油技术检测有限公司，天津 300452
- 折叠
摘要
Abstract
Knowledge acquisition has always been a bottleneck problems that plagued the intelligent development of diagnostic machines. Because the knowledge of reciprocating compressor fault diagnosis has not yet reached the point of in-depth, the intelligent diagnosis of reciprocating compressor most rely on fault cases which make the guidance and have the shortcoming of lack of explanatory power. Based on rough set theory which has the ability of resolving the ambiguity and uncertainty problems, this article takes the steps of establishing case decision table, calculating discernibility matrix, attribute reduction and rule extraction, then transforms failure cases of reciprocating compressor into effective knowledge rules. This method provides the knowledge base for the realization of the rule-based intelligent diagnostic system.关键词
粗糙集理论/往复压缩机/智能诊断/故障案例/知识获取Key words
theory of rough set/reciprocating compressor/intelligent diagnosis/failure cases/knowledge acquisition分类
信息技术与安全科学引用本文复制引用
侯超伟,马波,申大鹏,刘勇,陈明华..基于粗糙集理论的往复压缩机规则提取方法研究*[J].机电工程技术,2013,(10):71-76,6.
