Analysis of Fault Diagnosis Based on One Advanced Discernibility Function Reduction Algorithm

摘要：

Rough sets theory can eliminate the redundant and imprecise information effectively and correctly in fault diagnosis, which improve the real time and has much advantage of transforming afterwards and regular equipment logistics support to real-time logistics support. So the research on equipment fault diagnosis based on rough sets theory has much signification. The paper applies one advanced reduction algorithm based on discernibility function to some aero radio equipments fault diagnosis according to the deficiency of familiar attribution reduction algorithm based on discernibility function. The results show the algorithm can not only diagnose effectively and correctly but save much time.

关键词： discernibility function attributive reduction algoithm fault diagnosis real-time

作者: Guang-yi Zhang Yan-qin Su Shan Gao

作者单位: Graduate Students Naval Aeronautical and Astronautical University Yantai, Shandong, China Department of Scientific Research Naval Aeronautical and Astronautical University Yantai, Shandong,

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 358-361

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）