Adaptive Modulation Stochastic Resonance of Two-Dimensional Asymmetric Bistable System and its Application in Bearing Fault Diagnosis

被引：2
|
作者：
Zhang, Gang [1 ]
Shu, Yichen [1 ]
Zhang, Tianqi [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
来源：
IEEE ACCESS | 2021年 / 9卷
基金：
中国国家自然科学基金;
关键词：
Couplings; Stochastic resonance; Control systems; Mathematical model; Signal to noise ratio; Adaptation models; Numerical models; Bearing fault diagnosis; genetic algorithm; stochastic resonance; two-dimensional asymmetric bistable system; DRIVEN;
D O I：
10.1109/ACCESS.2021.3100112
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A two-dimensional asymmetric bistable stochastic resonance (TABSR) system model is proposed, and the parameter optimization is performed adaptively by genetic algorithm (GA). In essence, the model is coupled by a monostable model with an asymmetric piecewise-linear model utilizing linear coupling. The monostable model is used as the control system, and the asymmetric piecewise-linear model is used as the controlled system. A set of parameters of the controlled system is firstly obtained, so the TABSR system model can achieve better performance by adjusting the parameters and coupling coefficients of the control system. The output signal-to-noise ratio (SNR) formula of the two-dimensional model is derived and compared with the asymmetric piecewise-linear stochastic resonance (APSR) model. Then the effects of system parameters and coupling coefficients of the control system on system performance are explored. Through numerical simulation, the correctness of the theoretical analysis is verified, and the system is proved to have high theoretical research value. Finally, TABSR is applied to industrial bearing fault diagnosis to recognize weak fault signals which shows the practical application value, and the comprehensive performance comparison with APSR is conducted to validate the advancement of TABSR.
引用
收藏
页码：104722 / 104733
页数：12
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