关键词: 粗糙集, 故障诊断, 规则获取, 旋转注水机组

Abstract: Rough set method is good for dealing with the knowledge under the condition of imprecise and inconsistent information to acquire hidden knowledge and principle. A model of the fault diagnosis and decision rules acquisition for large rotating machinery based on Rough set is put forward. According to the inconsistent and redundant original information, the decision table is formed and the fault attributes are reduced based on Rough set theory. The attributes’ value is reduced by Showron discernibility matrix. Finally the minimum reduced attributes set and diagnosis rules database are established. This model is used for a rotating water injection machinery rules acquisition in practice. The original rough information is reduced to get the fault rules with 25% attributes’ reducing rate for the rotating water injection machinery. Its validity is proved.

Key words: Fault diagnosis, Rotating water injection machinery set, Rough set, Rules acquisition