中南大学学报（自然科学版）Issue(2)：640-646,7.DOI:10.11817/j.issn.1672-7207.2016.02.039
基于混沌分形理论的滚动轴承微小故障诊断
Slight fault diagnosis for rolling bearing based on chaos and fractal theory
摘要
Abstract
In order to extract the fault features of bearing slight fault, a new fault diagnosis method for rolling bearing based on chaos and fractal theory was put forward. Firstly, the largest lyapunov exponent of rolling bearing vibration signal was calculated to identify whether the bearing running gets in chaotic or not. Then, the correlation dimension and box dimension of the chaotic signal were calculated as the state character for fault diagnosis. When the correlation dimension can’t obviously separate bearing faults, the box dimension is used to combine with it for fault diagnosis. Finally, the inner ring, outer ring and rolling element signal of bearing in slight fault, serious fault and the normal state signal in total 7 kinds of conditions were selected to do the experiments. The experimental results show that the method can accurately extract fault feature and complete slight fault diagnosis of rolling bearing. The proposed method provides a new effective approach to the fault diagnosis of rolling bearing.关键词
滚动轴承/微小故障诊断/Lyapunov指数/关联维数/盒维数Key words
rolling bearing/slight fault diagnosis/the largest Lyapunov exponent/correlation dimension/box dimension分类
自科综合引用本文复制引用
张忠云,吴建德,马军,王晓东..基于混沌分形理论的滚动轴承微小故障诊断[J].中南大学学报（自然科学版）,2016,(2):640-646,7.基金项目
国家自然科学基金资助项目(51169007)；云南省科技计划项目(2013DH034，2012CA022，2011CI017)(Project (51169007) supported by the National Natural Science Foundation of China （51169007）
Projects (2013DH034,2012CA022,2011CI017) supported by the Science & Research Program of Yunnan Province) （2013DH034,2012CA022,2011CI017）
