[1]梁波,王志海,张方伟.基于小波包和积分补偿调参随机共振在轴承故障检测中的应用[J].工业仪表与自动化装置,2020,(03):8-14.[doi:1000-0682(2020)03-0000-00]
　LIANG Bo,WANG Zhihai,ZHANG Fangwei.Application of SRR based on wavelet packet and integral compensation in bearing fault detection[J].Industrial Instrumentation & Automation,2020,(03):8-14.[doi:1000-0682(2020)03-0000-00]
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基于小波包和积分补偿调参随机共振在轴承故障检测中的应用

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

Title:: Application of SRR based on wavelet packet and integral compensation in bearing fault detection

作者:: 梁波1; 2; 3; 王志海1; 2; 3; 张方伟1; 2; 3; 1.吉利控股集团；
2.吉利科技集团，杭州 310000；
3.吉智新能源汽车科技技术有限公司，杭州 310051

Author(s):: LIANG Bo1; 2; 3; WANG Zhihai1; 2; 3; ZHANG Fangwei1; 2; 3; 1. Geely Holding Group；
2. Geely Technology Group, Hangzhou 310000, China;
3. Jizhi New Energy Automotive Technology Co., Ltd., Hangzhou 310051, China）

Keywords:: wavelet packet; integral compensation; large parameter; weak signal; resonance system; fault diagnosis

摘要:: 针对随机共振只适用于解决轴承早期单一频段故障微弱信号以及小参数随机共振系统难以检测多频段大参数输入信号的问题，提出了一种小波包和积分补偿法调节多频段大参数以实现随机共振。利用小波包变换法对多频微弱含噪信号进行分离，得到高频细节信号和低频近似信号，再利用积分补偿算法得到补偿系数，并对模型中的非线性方程进行积分补偿；由积分补偿方程建立新的非线性共振系统模型，利用新模型进行随机共振动态响应并输出其频谱，获得信号故障信息。通过对实验室采集的轴承径向振动信号分析，可以有效获得轴承故障特征频率，仿真与实验验证了理论方法的正确性。

Abstract:: Aiming at the problem that random resonance is only suitable for solving the problem of weak single-band fault early signals in bearings and small-parameter stochastic resonance systems are difficult to detect multi-band large-parameter input signals,a wavelet packet and integral compensation method are proposed to adjust multi-band large parameters to achieve random resonance.The multi- frequency weakly noisy signal is separated by the wavelet packet transform method to obtain the high-frequency detail signal and the low-frequency approximate signal,and then the integral compensation algorithm is used to obtain the compensation coefficient.The nonlinear equation in the model is transformed and multiplied by the compensation coefficient.Cancel the damping attenuation, and establish a new nonlinear resonance system model by the integral compensation equation.Useing the new model to perform the dynamic response of random resonance and output its frequency spectrum to obtain signal fault information.By analyzing the bearing radial vibration signal collected in the laboratory,the characteristic frequency of bearing failure can be effectively obtained.Simulation and experiments verify the correctness of the theoretical method.

[1] 朱维娜.随机共振参数优化及其应用研究[D].杭州:中国计量学院,2014.

[2] 冷永刚.大信号变尺度随机共振的机理分析及其工程应用研究[D].天津:天津大学,2004.

[3] 冷永刚,王太勇,郭焱,等.级联双稳系统的随机共振特性[J].物理学报,2005,54(3):1118- 1125.

[4] G Hu, G Nicolis, C Nicolis. Periodically forced Fokker- Plank equation and stochastic resonance[J]. Physical Review A,1990,42(4):2030-2041.

[5] 王强,王莉,陈晨,等.基于改进EMD的信号降噪方法[J].火力与指挥控制,2016,42(8):111-114.

[6] 宫玮丽,梁波,王晓兰.基于小波包和希尔伯特包络分析的隧道掘进机主轴承故障诊断方法研究[J].工业仪表与自动化装置,2018(2):15-18.

[7] 冷永刚,王太勇.二次采样用于随机共振从强噪声中提取弱信号的数值研究[J].物理学报,2003,52(10):2432-2437.

[8] 周玉飞,王红军,左云波,等.基于变尺度随机共振的轴承故障诊断[J].北京信息科技大学学报,2015,30(6):68-72.

[9] 冷永刚,田祥友.一阶线性系统随机共振在滑动轴承故障诊断中的应用研究[J].新型工业化,2013,3(6):92-98.

[10] 梁波,蒲平山,余振军,等.积分补偿随机共振在盾构机轴承故障检测中的应用[J].制造业自动化,2018(12): 104-108.

[11] 陈长征,胡立新,周勃,等.设备振动分析与故障诊断技术[M].北京:科学出版社,2007.

[12] 周伟,张一鸣.基于MATLAB的小波分析应用[M].西安:西安电子科技大学出版社,2010.

[13] 张宇,吕海峰,赵远,等.基于非线性系统随机共振的多频弱信号检测[J].吉林大学学报(信息科学版),2007,25(1): 68-72.

更新日期/Last Update: 1900-01-01