基于粗集理论的柴油机典型故障的磨粒识别  

Wear Particles Recognition of Typical Fault in Diesel Engine Based on Rough Sets

作　　者：邢敬华[1] 赵新泽[1] 严新平[2] 

机构地区：[1]三峡大学机械与材料学院,湖北宜昌443002 [2]武汉理工大学可靠性工程研究所,湖北武汉430063

出　　处：《内燃机学报》2005年第1期92-95,共4页Transactions of Csice

基　　金：国家自然科学基金资助项目(50275111);三峡大学重大科技项目(2003C05)。

摘　　要：利用铁谱技术分析柴油机的典型故障,建立柴油机的典型故障与磨粒类型的关系,在此关系的基础上基于粗集理论确定典型故障模式识别的最优决策规则,通过试验结果验证了最优决策规则的准确性。为铁谱技术的智能诊断提供了依据。The typical fault of diesel engine by ferrogragh analysis was conducted,and the relationship between the typical fault of diesel engine and wear particles was established.Based the rough sets theory the optimum decision-making for the typical fault of diesel engine was given,and the accuracy of the decision making is validated.The study provides basis for intelligent fault diagnosis by ferrogragh.

关 键 词：粗集理论 故障模式 铁谱技术 

分 类 号：TK401[动力工程及工程热物理—动力机械及工程]