Oscillation based permutation entropy calculation as a dynamic nonlinear feature for health monitoring of rolling element bearing

被引：25
|
作者：
Noman, Khandaker [1 ]
Wang, Dong [1 ]
Peng, Zhike [1 ]
He, Qingbo [1 ]
机构：
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
来源：
MEASUREMENT | 2021年 / 172卷
基金：
中国国家自然科学基金;
关键词：
Bearing health monitoring; Permutation entropy; Tunable Q factor wavelet transform; Nonlinear dynamic feature;
D O I：
10.1016/j.measurement.2020.108891
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Aiming at overcoming the limitations of permutation entropy (PE) in dynamic bearing health monitoring (Healthy-initial fault inception-severe fault stage) , in this paper, PE calculation based on tunable Q factor wavelet transform (TQWT) is implemented to quantify bearing health. Firstly, weaknesses of PE in depicting bearing health are studied through numerically simulated signals. Secondly, based on the biasness of PE towards bearing fundamental signal component (FSC), oscillation based method TQWT is used to separate the FSC from the bearing signal to calculate its PE. Since, the proposed PE calculation method includes an oscillation based procedure, the resultant feature value is termed as oscillation based PE (OBPE). Selection of the parameters needed for OBPE calculation are discussed in details. Two public bearing run to failure experiments have confirmed that OBPE provides a much better result than direct application of PE in dynamic bearing health monitoring.
引用
收藏
页数：14
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