非对称势诱导随机共振增强机械重复瞬态提取

doi:10.3901/JME.2021.23.160

机械工程学报 ›› 2021, Vol. 57 ›› Issue (23): 160-168.doi: 10.3901/JME.2021.23.160

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非对称势诱导随机共振增强机械重复瞬态提取

谯自健^1,2,3,4, 束学道^1,3,4

1. 宁波大学机械工程与力学学院宁波 315211;
2. 重庆大学机械传动国家重点实验室重庆 400044;
3. 冲击与安全工程教育部重点实验室宁波 315211;
4. 浙江省零件轧制成形技术研究重点实验室宁波 315211

收稿日期:2020-05-01 修回日期:2021-08-01 出版日期:2021-12-05 发布日期:2022-02-28
通讯作者: 谯自健(通信作者),男,1988年出生,博士,讲师。主要研究方向为机械非平稳信号处理与征兆特征增强,机械装备大数据清洗与智能信息表征,机械状态监测与早期/智能故障诊断,非线性系统共振及其信号/图像智能增强,机械装备健康管理与云智能运维,基于工业互联网的数字孪生安全服役保障技术。E-mail:qiaozijian@nbu.edu.cn;zijianqiao@hotmail.com
基金资助:
机械传动国家重点实验室开放基金（SKLMT-MSKFKT-202009）、浙江省教育厅一般科研项目（Y202043287）、宁波市科技创新2025重大专项（2020Z110）、国家自然科学基金（51975301）和宁波大学王宽诚幸福基金资助项目。

Stochastic Resonance Induced by Asymmetric Potentials Enhanced Mechanical Repetitive Transient Extraction

QIAO Zijian^1,2,3,4, SHU Xuedao^1,3,4

1. School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211;
2. The State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044;
3. Key Laboratory of Impact and Safety Engineering, Ministry of Education of China, Ningbo 315211;
4. Zhejiang Provincial Key Laboratory of Part Rolling Technology, Ningbo 315211

Received:2020-05-01 Revised:2021-08-01 Online:2021-12-05 Published:2022-02-28

摘要/Abstract

摘要： 针对现有随机共振方法未探明非对称阱深与阱宽单独变化诱导随机共振的重复瞬态特征增强机理的问题，通过建立阱深、阱宽以及阱深阱宽三种非对称双阱势，提出非对称势诱导随机共振的机械重复瞬态特征增强方法，该方法能够利用布朗粒子在左右势阱中驻留时间的差异俘获噪声能量增强重复瞬态特征。通过仿真分析和多级齿轮箱早期故障试验，结果表明：窄又深的左势阱益于重复瞬态特征增强，且势垒壁的陡峭度影响随机共振的重复瞬态特征增强能力；提出方法能够准确诊断出多级齿轮箱行星轮齿根裂纹早期故障，且重复瞬态特征增强结果优于经验模式分解方法，基于峭度指标量化对比增强结果，可以看出，提出方法增强结果的峭度指标高达经验模式分解方法的4倍之多，将原始信号的峭度指标提高了80余倍。

关键词: 早期故障诊断, 重复瞬态提取, 随机共振, 微弱特征增强

Abstract: Aiming to solve the issue that the mechanism of SR induced by well-depth or well-width asymmetry individually for enhancing repetitive transients has not been investigated, three kinds of asymmetric double-well potentials including well-depth asymmetric ones, well-width asymmetric ones and well-depth-width asymmetric ones are designed to propose a SR method induced by asymmetric potentials for enhancing mechanical repetitive transients. The proposed method utilizes the residence-time difference of Brownian particles between left and right potential wells to harvest noise energy for enhancing repetitive transients. Simulation and experiments of multi-stage gearboxes are performed to demonstrate its effectiveness. The results show that narrow and deep left potential well benefits to enhancing repetitive transients and the steepness of potential barrier would influence the SR for enhancing repetitive transients. In addition, the proposed method can diagnose incipient faults of multi-stage gearbox with an early crack on the tooth root of a planet gear and is superior to EMD. Even, the original signal's kurtosis index is increased by more than 80 times using the proposed method whose kurtosis index is 4 times of that of EMD.

Key words: incipient fault diagnosis, repetitive transient extraction, stochastic resonance, weak characteristic enhancement

中图分类号:

TH17

谯自健, 束学道. 非对称势诱导随机共振增强机械重复瞬态提取[J]. 机械工程学报, 2021, 57(23): 160-168.

QIAO Zijian, SHU Xuedao. Stochastic Resonance Induced by Asymmetric Potentials Enhanced Mechanical Repetitive Transient Extraction[J]. Journal of Mechanical Engineering, 2021, 57(23): 160-168.

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非对称势诱导随机共振增强机械重复瞬态提取

Stochastic Resonance Induced by Asymmetric Potentials Enhanced Mechanical Repetitive Transient Extraction

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