Application of Genetic Algorithms and Possibility Theory in Rolling Bearing Compound Fault Diagnosis

摘要：

The characteristic parameters of mechanical fault are found, on the basis of characteristic component collection according to wavelet transform, through optimizing the commonly-used characteristic parameters reflecting rolling bearing fault by genetic algorithms theory. The relationship between the characteristic fault and the mode of fault is created based on the possibility theory. The article also studies the successive fault diagnosis method of the rolling bearing.The experiment shows the successive fault diagnosis method can be applied well in rolling bearing compound fault diagnosis.

关键词： Genetic Algorithm Rolling Bearing Possibility Theory Compound Fault Characteristic Parameter

作者: LUO Zhi-gao PANG Chao-li CHEN Bao-lei CHEN Peng

作者单位: Jiangsu University, Zhenjiang, Jiangsu, 212013, China Japanese Mie University, Tsu City, Japan

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 620-624

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）