摘要
滚动轴承退化指标是研究滚动轴承非常重要的一环,良好的退化指标可以在轴承失效前对退化进行预警。提出了时间因子熵作为退化指标,在小波包变换的基础上,对原有的熵值指标进行改进,引入时间因子,并辅以高斯模型拟合来优化该指标的表达。采用法国贝桑松大学FEMTO-ST研究所的轴承全寿命实验数据,来验证方法的可行性。实验结果表明,该指标受轴承运行工况影响较小,可以表征不同工况下的退化状态,并且通过计算其变化率实现对轴承失效的预警。
The indicator of bearing degradation is one of the most important parts in the study of bearing.The effective indicators can help warn of degradation before bearing failure.In this paper,the entropy with time parameter is proposed as the degradation index.By introducing time parameter,the entropy based on wavelet packet transform is improved,and the Gaussian model is used to optimize the expression of the indicator.The data of run-to-failure is from FEMTO-ST Institute to verify the feasibility of the method.The experiment result shows that the indicator is less affected by the optional conditions.It can also characterize the degradation state under different working conditions and realize the early warning of bearing failure by calculating the its rate of change.
作者
刘国增
赵建民
张鑫
李海平
LIU GuoZeng;ZHAO JianMin;ZHANG Xin;LI HaiPing(Department of Equipment Command and Management,Army Engineering University,Shijiazhuang 050003,China)
出处
《机械强度》
CAS
CSCD
北大核心
2020年第4期799-804,共6页
Journal of Mechanical Strength
基金
国家自然科学基金项目(71871220)资助。
关键词
轴承退化
时间因子熵
高斯模型拟合
失效预警
Bearing degradation
Entropy with time parameter
Gaussian model
Failure warn
