Extraction Fault Rule of Rotation Equipment Based on Rough Set
In order to improve the accuracy of rotation equipment fault diagnosis, and be directed to the mechanical failure in the UCI database, the characteristics of detection parameter in the data set is analysed, no filter vertical amplitude, filter vertical vibration speed ,and the key detection parameter of the rotating equipment failure is vibration frequency. As a result, the method which the data of rotation equipment failure is mined by rough set is proposed. In the data set, the data selection, discrete, establishment of decision making table and reduction method are introduced. Expert system rule base of rotating equipment failure will be realized by extraction of rotating equipment fault rule.
fault rule rotation equipmen rought set
LI Meng SHU Yunxing MAO Jiandong LI Xiaohua
Luoyang Institute of Science and Technology Luoyang ,CHINA 471023 Xian University of Architecture and Technology Xian, China 710055
国际会议
长沙
英文
1556-1559
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）