特征融合与灰色回归的滚动轴承性能退化评估

杨创艳; 马军; 王晓东; 罗亭; 李卓睿

doi:10.12263/DZXB.20200826

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特征融合与灰色回归的滚动轴承性能退化评估

学术论文 | 更新时间：2025-12-08

- 特征融合与灰色回归的滚动轴承性能退化评估
- Feature Fusion and Grey Regression for Performance Degradation Assessment of Rolling Bearings
- 电子学报 2022年50卷第1期页码：106-115
- 作者机构：
  
  1.昆明理工大学信息工程与自动化学院，云南昆明 650500
  2.昆明理工大学云南省人工智能重点实验室，云南昆明 650500
- 作者简介：
  
  [ "杨创艳女，1994年9月出生于云南省大理市.现为昆明理工大学信息工程与自动化学院硕士研究生.主要研究方向为机械故障诊断及性能退化评估. E-mail:yangchuangyan@stu.kust.edu.cn" ]
  [ "马军（通信作者）男，1989年9月出生于云南省镇雄县.2016年毕业于昆明理工大学并获得博士学位，现为昆明理工大学信息工程与自动化学院副教授、硕士研究生导师.主要研究方向为大型机械设备结构健康监测. E-mail:mjun@kust.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(51765022;61663017);云南省科技计划(2019FD042)
- DOI：10.12263/DZXB.20200826
  中图分类号： TN911.7;
- 收稿：2020-08-03，
  
  修回：2021-02-05，
  
  纸质出版：2022-01-25
- 稿件说明：
移动端阅览
杨创艳,马军,王晓东等.特征融合与灰色回归的滚动轴承性能退化评估[J].电子学报,2022,50(01):106-115.

YANG Chuang-yan,MA Jun,WANG Xiao-dong,et al.Feature Fusion and Grey Regression for Performance Degradation Assessment of Rolling Bearings[J].ACTA ELECTRONICA SINICA,2022,50(01):106-115.
杨创艳,马军,王晓东等.特征融合与灰色回归的滚动轴承性能退化评估[J].电子学报,2022,50(01):106-115. DOI： 10.12263/DZXB.20200826.

YANG Chuang-yan,MA Jun,WANG Xiao-dong,et al.Feature Fusion and Grey Regression for Performance Degradation Assessment of Rolling Bearings[J].ACTA ELECTRONICA SINICA,2022,50(01):106-115. DOI： 10.12263/DZXB.20200826.

摘要

针对传统退化指标无法准确反映滚动轴承全寿命周期内退化状态的问题，提出一种特征融合与灰色回归的滚动轴承性能退化评估方法.该方法提取滚动轴承振动信号的高维退化特征，构建基于单调性、相关性和鲁棒性的综合评价准则，选择有效退化特征并构建敏感指标集；提出核独立成分分析（Kernel Independent Component Analysis，KICA）和马氏距离（Mahalanobis Distance，MD）相结合的方法，计算敏感退化指标KICAMD；融合灰色回归模型和

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原则，判定敏感退化指标KICAMD是否存在虚假波动并修复，获得轴承健康指标（Health Index，HI）；最后，基于HI时间序列的转折突变点，自适应确定初始故障时间和定量评估轴承退化状态.两组滚动轴承全寿命周期振动实验数据及对比分析表明，所提方法构建的性能退化指标能有效表征轴承全生命周期的运行状态.

Abstract

Aiming at the problem that the traditional degradation indicator cannot accurately reflect the degradation state of the rolling bearing in the whole life cycle

a method of performance degradation evaluation based on feature fusion and grey regression is proposed. The high-dimensional degradation features of vibration signal are extracted

and the comprehensive evaluation criteria based on monotonicity

correlation and robustness is constructed. A method combining kernel independent component analysis(KICA) and mahalanobis distance(MD) is proposed to calculate the sensitive degradation indicator KICAMD. Then

a novel based-the gray regression model and

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3.13266683

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principle method is introduced to determine in advance whether the sensitivity degradation indicator KICAMD is false fluctuation ahead of time repair

and then the bearing degradation health indicator HI is obtained. Based on the abrupt transition point of HI time series

the start failure time is determined adaptively and the rolling bearing degradation state is quantitatively evaluated. The experiment and comparative analysis of two groups of rolling bearing life cycle vibration show that the constructed performance degradation index can effectively characterize the running state of the rolling bearing.

关键词

Keywords

references

郑近德 , 潘海洋 , 戚晓利 , 等 . 基于改进经验小波变换的时频分析方法及其在滚动轴承故障诊断中的应用 [J]. 电子学报 , 2018 , 46 ( 2 ): 358 - 364 .

ZHENG J D , PAN H Y , QI X L , et al . Time-frequency analysis method based on improved empirical Wavelet Transform and its Application in rolling Bearing Fault diagnosis [J]. Acta Electronica Sinica , 2018 , 46 ( 2 ): 358 - 364 . (in Chinese)

潘海洋 , 郑近德 , 杨宇 , 等 . 基于CELCD和MFVPMCD的智能故障诊断方法研究 [J]. 电子学报 , 2017 , 45 ( 3 ): 546 - 551 .

PAN H Y , ZHENG J D , YANG Y , et al . Research on intelligent fault diagnosis method based on CELCD and MFVPMCD [J]. Acta Electronica Sinica , 2017 , 45 ( 3 ): 546 - 551 . (in Chinese)

苏维均 , 杨飞 , 于重重 , 等 . 基于局部频谱的滚动轴承故障特征提取方法 [J]. 电子学报 , 2018 , 46 ( 1 ): 160 - 166 .

SU W J , YANG F , YU Z Z , et al . Fault feature extraction method of rolling bearing based on local spectrum [J]. Acta Electronic Sinica , 2018 , 46 ( 1 ): 160 - 166 . (in Chinese)

陈祥龙 , 冯辅周 , 张兵志 , 等 . 基于平方包络谱相关峭度的最优共振解调诊断滚动轴承故障 [J]. 机械工程学报 , 2018 , 54 ( 21 ): 90 - 100 .

CHEN X L , FENG F Z , ZHANG B Z , et al . Rolling bearing fault diagnosis with optimal resonant frequency band demodulation based on squared envelope spectral correlated kurtosis [J]. Journal of Mechanical Engineering , 2018 , 54 ( 21 ): 90 - 100 . (in Chinese)

ZENG Z G , MAIO F D , DIO E , et al . A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods [J]. Proceedings of the Institution of Mechanical Engineers , Part O: Journal of Risk and Reliability, 2017 , 231 ( 1 ): 36 - 52 .

郑小霞 , 李美娜 . 基于小波包和并行隐马尔科夫的风力机易损部件退化状态评价 [J]. 太阳能学报 , 2019 , 40 ( 2 ): 370 - 379 .

ZHENG X X , LI M N . Health state evaluation based on wavelet packet and PCHMM for vulnerable components of wind turbines [J]. Journal of Solar Energy , 2019 , 40 ( 2 ): 370 - 379 . (in Chinese)

XU L , PENNACCHI P , CHATTERTON S . A new method for the estimation of bearing health state and remaining useful life based on the moving average cross-correlation of power spectral density [J]. Mechanical Systems and Signal Processing , 2020 , 139 : DOI:10.1016/j.ymssp. 2020.106617.

SHAO H D , CHENG J S , JIANG H K , et al . Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing [J]. Knowledge-Based Systems , 2020 , 88 : DOI:10.1016/j.knosys.2019.105022.

王斐 , 房立清 , 赵玉龙 , 等 . 基于VMD和SVDD的滚动轴承早期微弱故障检测和性能退化评估研究 [J]. 振动与冲击 , 2019 , 38 ( 22 ): 224 - 230, 256 .

WANG F , FANG L Q , ZHAO Y L , et al . Early weak fault detection and performance degradation evaluation of rolling bearings based on VMD and SVDD [J]. Vibration and Shock , 2019 , 38 ( 22 ): 224 - 230, 256 . (in Chinese)

郑近德 , 潘海洋 , 程军圣 , 等 . 基于复合多尺度模糊熵的滚动轴承故障诊断方法 [J]. 振动与冲击 , 2016 , 35 ( 8 ): 116 - 123 .

ZHENG J D , PAN H Y , CHENG J S , et al . Composite multi-scale fuzzy entropy based rolling bearing fault diagnosis method [J]. Vibration and Shock , 2016 , 35 ( 8 ): 116 - 123 . (in Chinese)

戴豪民 , 许爱强 , 李文峰 , 等 . 基于WMRMR的滚动轴承混合域特征选择方法 [J]. 振动与冲击 , 2015 , 34 ( 19 ): 57 - 61 .

DAI H M , XU A Q , LI W F , et al . Fault diagnosis of rolling bearings in mixed domain based on WMRMR [J]. Vibration and Shock , 2015 , 34 ( 19 ): 57 - 61 . (in Chinese)

ZHU K H , CHEN L , HU X . Rolling element bearing fault diagnosis based on multi-scale global fuzzy entropy, multiple class feature selection and support vector machine [J]. Transactions of the Institute of Measurement and Control , 2019 , 41 ( 14 ): 4013 - 4022 .

王奉涛 , 陈旭涛 , 闫达文 , 等 . 流形模糊C均值方法及其在滚动轴承性能退化评估中的应用 [J]. 机械工程学报 , 2016 , 52 ( 15 ): 59 - 64 .

WANG F T , CHEN X T , YAN D W , et al . Fuzzy C-means using manifold learning and its application to rolling baring prformance dgradation asessment [J]. Journal of Mechanical Engineering , 2016 , 52 ( 15 ): 59 - 64 . (in Chinese)

LIU P , LI G D , LIU X G , et al . A novel non-uniform control vector parameterization approach with time grid refinement for flight level tracking optimal control problems [J]. ISA Transactions , 2018 , 73 : 66 - 78 .

TIAN J , MORILLO C , AZARIAN M H . Motor bearing fault detection using spectral kurtosis-based feature extraction coupled with K-nearest neighbor distance analysis [J]. IEEE Transactions on Industrial Electronics , 2016 , 63 ( 3 ): 1793 - 1803 .

WU J , WU C , CAO S . Degradation data-driven time-to-failure prognostics approach for rolling element bearings in electrical machines [J]. IEEE Transactions on Industrial Electronics , 2019 , 66 ( 1 ): 529 - 539 .

SUN H , FANG L , ZHAO F . A fault feature extraction method for single-channel signal of rotary machinery based on VMD and KICA [J]. Journal of Vibroengineering , 2019 , 21 ( 2 ): 370 - 383 .

WU J , WU C Y . Degradation data-drive time-to-failure prognostics approach for rolling element bearings in electrical machines [J]. IEEE Transactions on Industrial Electronics , 2018 , 66 ( 1 ): 529 - 539 .

AHMAD W , KHAN S A , KIM , J M . A hybrid prognostics technique for rolling element bearings using adaptive predictive models [J]. IEEE Transactions on Industrial Electronics , 2017 , 65 ( 2 ): 1577 - 1584 .

高彩霞 , 吴彤 , 付子义 . 线性回归与EEMD的滚动轴承剩余寿命预测 [J]. 机械科学与技术 , 2019 , 38 ( 10 ): 1589 - 1597 .

GAO C X , WU T , FU Z Y . Remaining useful life prediction for rolling bearings based on linear regression and EEMD [J]. Mechanical Science and Technology , 2019 , 38 ( 10 ): 1589 - 1597 . (in Chinese)

SONG Y C , LIU D T , HOU Y D , et al . Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm [J]. Chinese Journal of Aeronautics , 2018 , 31 ( 1 ): 31 - 40 .

CHOE B , KWAK W , JEON D , et al . Experimental study on dynamic behavior of ball bearing cage in cryogenic environments, Part II: Effects of cage mass imbalance [J]. Mechanical Systems and Signal Processing , 2019 , 116 ( 1 ): 25 - 39 .

LI N , LEI Y , LIN J , et al . An improved exponential model for predicting remaining useful life of rolling element bearings [J]. IEEE Transactions on Industrial Electronics , 2015 , 62 ( 12 ): 7762 - 7773 .

于重重 , 宁亚倩 , 秦勇 , 等 . 基于T-SNE样本熵和TCN的滚动轴承状态退化趋势预测 [J]. 仪器仪表学报 , 2019 , 40 ( 8 ): 39 - 46 .

YU C C , NING Y Q , QIN Y , et al . Prediction of rolling bearing state degradation trend based on T-SNE sample entropy and TCN [J]. Journal of Scientific Instrument , 2019 , 40 ( 8 ): 39 - 46 . (in Chinese)

LI D G , JIRAROJ T , ZHANG W Y . Nonlinear factor‐augmented predictive regression models with functional coefficients [J]. Journal of Time Series Analysis , 2020 , 41 ( 3 ): 369 - 386 .

刘弹 , 李晓婉 , 梁霖 , 等 . 采用时间序列突变点检测的滚动轴承性能退化评价方法 [J]. 西安交通大学学报 , 2019 , 53 ( 12 ): 10 - 16 .

LIU D , LI X W , LIANG L , et al . Evaluation method of rolling bearing performance degradation using time series mutation detection [J]. Journal of Xi'an Jiaotong University , 2019 , 53 ( 12 ): 10 - 16 . (in Chinese)

LAVIELLE M . Using penalized contrasts for the change-point problem [J]. Signal Processing , 2005 , 85 ( 8 ): 1501 - 1510 .

ZOU C , Yin G , FENG L . Nonparametric maximum likelihood approach to multiple change-point problems [J]. Annals of Statistics , 2014 , 42 ( 3 ): 970 - 1002 .

张龙 , 宋成洋 , 邹友军 , 等 . 基于Renyi熵和K-medoids聚类的轴承性能退化评估 [J]. 振动与冲击 , 2020 , 39 ( 20 ): 24 - 31, 46 .

ZHANG L , SONG C Y , ZOU Y J , et al . Evaluation of bearing performance degradation based on Renyi entropy and K-Medoids clustering [J]. Vibration and Impact , 2020 , 39 ( 20 ): 24 - 31, 46 . (in Chinese)

雷亚国 , 韩天宇 , 王彪 , 等 . XJTU-SY滚动轴承加速寿命试验数据集解读 [J]. 机械工程学报 , 2019 , 55 ( 16 ): 1 - 6 .

LEI Y G , HAN T Y , WANG B , et al . Data set interpretation of XJTU-SY rolling bearing accelerated life test [J]. Journal of Mechanical Engineering , 2019 , 55 ( 16 ): 1 - 6 . (in Chinese)

WANG B , LEI Y G , LI N P . Ahybrid prognostics approach for estimating remaining useful life of rolling element bearings [J]. IEEE Transactions on Reliability , 2018 , 69 ( 1 ): 401 - 412 .

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