摘要
混沌分形对揭示事物的非线性本质具有独特性,基于混沌分形的方法对复杂机械系统的早期故障较为敏感。将混沌分形用于复杂机械故障诊断中,用关联维来刻画故障特征,在旋转机械的滚动轴承故障诊断中取得了较好的效果。
Chaos and fractal theory has its particular characteristic in posting essences of things, methods based on chaos and fractal theory is sensitive to complex machine system forepart faults. So chaos and fractals theory is used to complex machine fault diagnosis with correlation dimension representing fault characteristics. Good results are obtained for roiling bearing fault diagnosis in rotating machinery.
出处
《煤矿机械》
北大核心
2006年第6期1101-1102,共2页
Coal Mine Machinery
基金
国家自然科学基金资助(50375017)
北京市自然科学基金资助(3042006
3062008)
机电系统测控北京市重点实验室开放项目资助(51053001)
关键词
混沌
分形
故障诊断
关联维
chaos and fractal
fault diagnosis
correlation dimension
