摘要
粗糙集理论是一种处理模糊和不确定知识的数学工具。本文根据粗糙集理论,对设备的振动故障诊断决策表进行属性约简,以提取故障识别的重要属性,降低决策表的冗余性。分析表明,粗糙集理论应用于故障诊断可得到更清晰、简明的诊断规则。
Rough set theory is a new mathematical tool to deal with vagueness and uncertainty. Based on that theory, this paper deals with the attribute reduction for the fault diagnosis decision-making table of the vibration equipment. The important attributes of fault identification were extracted so as to decrease the redundancy of a decision-making table. The analysis shows that more clear and concise diagnostic rules could be acquired by using rough set theory.
出处
《上海应用技术学院学报（自然科学版）》
2006年第3期160-162,171,共4页
Journal of Shanghai Institute of Technology: Natural Science
关键词
故障诊断
粗糙集
决策表
属性约简
fault diagnosis
rough set
decision-making table
attribute reduction
