An Algorithm of Acquisition for Diagnostic Parameters of Engine Fault Based on Fuzzy-Rough Sets
In view of characteristics with fuzzy and consecutive attributes in actual information systems, a reduction algorithm based on Fuzzy-Rough Sets was put forward. The algorithm firstly sorted attributes into some sorts by the method of Fuzzy Sets, and confirmed the optimal sort by the criterion of the maximal change rate of threshold and using its optimization strategy. The attributes were reduced by using Rough Sets methods after being dispersed. The algorithm was used for acquisition of diagnostic parameters of aero-engine fault. The result is proved that the core attributes of the reductions are key attributes of aero-engine fault.
Fuzzy sets Rough sets Aero-engine Diagnostic parameters Fault diagnosis
Yunxue Song Yongsheng Shi Chuanchao Zhang
College of Aeronautics Engineering Civil Aviation University of China Tianjin, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）