A Research for Rule Acquisition of Reciprocating Compressor Based on Theory of Rough Set
Hou Chao-we, Cnocc Technical · Mechanical & Electrical Engineering Technology · 2013
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.