|
|
论文:2021,Vol:39,Issue(4):831-838 |
|
|
引用本文： |
|
|
李法忠, 何增水, 张林, 明安波, 杨永生. 滚动轴承局部故障的声发射信号解析模型与频域特征[J]. 西北工业大学学报 |
|
|
LI Fazhong, HE Zengshui, ZHANG Lin, MING Anbo, YANG Yongsheng. Analytical model and spectral characteristics of acoustic emission signal produced by localized fault of rolling element bearing[J]. Northwestern polytechnical university |
|
|
|
|
|
|
|
| 滚动轴承局部故障的声发射信号解析模型与频域特征 |
|
| 李法忠1, 何增水2, 张林3, 明安波4, 杨永生5 |
|
1. 火箭军装备部 装备项目管理中心, 北京 100086;
2. 火箭军驻某军代室, 陕西 西安 710025;
3. 96761部队, 河南 灵宝 472500;
4. 西北工业大学 力学与土木建筑学院, 陕西 西安 710072;
5. 陕西省行政学院, 陕西 西安 710068 |
| 摘要: |
| 准确描述故障信号是进行滚动轴承故障特征提取与分析的基础。深入分析了滚动体通过轴承内、外圈局部故障时产生声发射信号的机理，建立了含双冲击响应的声发射信号解析模型，并探讨了声发射信号的频域特征。采用仿真信号与试验信号验证了解析模型的正确性。结果表明：滚动体通过局部故障时会产生与进、出故障相关的2个声发射事件，且2个事件的响应能量均集中在传感器共振频率附近；声发射信号功率谱由低频段的离散谱和高频段的连续谱共同组成。 |
| 关键词:
滚动轴承
局部故障
声发射
解析模型
|
|
| Analytical model and spectral characteristics of acoustic emission signal produced by localized fault of rolling element bearing |
|
| LI Fazhong1, HE Zengshui2, ZHANG Lin3, MING Anbo4, YANG Yongsheng5 |
|
1. Equipment Project Management Center, Department of Rocket Force's Equipment, Beijing 100086, China;
2. Department of Rocket Force, Xi'an 710025, China;
3. The 96761 th Army, Lingbao 472500, China;
4. School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an 710072, China;
5. Shaanxi Academy of Governance, Xi'an 710068, China |
| Abstract: |
| The accurate description of acoustic emission signals produced by the localized fault of a rolling element bearing plays an important role in its feature extraction and analysis. This paper analyzes the excitation mechanisms and develops the analytical model of acoustic emission signals produced when the rolling element bearing passes across the localized fault on the inner or outer race. Based on the analytical model, the spectral characteristics are discussed substantially. Simulations and experiments are carried out to validate the efficacy of the model developed in the paper. The experimental results show that the response signal thus produced has two parts. The first one is produced by the entry of the rolling element bearing, while the other is produced by the departure of the rolling element bearing. The energy of both parts is concentrated around the resonance frequency of the acoustic emission transducer. Generally, the interval of adjacent acoustic emission events is not equivalent to each other and the corresponding spectrum is continuous in the high frequency band. |
| Key words:
rolling element bearing
localized fault
acoustic emission
analytical model
|
|
| 收稿日期: 2020-12-02
修回日期:
|
| DOI: 10.1051/jnwpu/20213940831 |
| 基金项目: 国家自然科学基金（51505486，61703410，61873175）与陕西省高校科协青年人才托举项目（20170511）资助 |
| 通讯作者: 明安波(1986-),西北工业大学副教授,主要从事信号处理、故障诊断等研究。e-mail:anboming@nwpu.edu.cn
Email：anboming@nwpu.edu.cn |
| 作者简介: 李法忠(1973-),火箭军装备部工程师,主要从事人工智能和导航制导研究。
|
|
|
|
|
|
|
|
参考文献: |
|
|
[1] HARMOUCHE J, DELPHA C, DIALLO D. Improved fault diagnosis of ball bearings based on the global spectrum of vibration signals[J]. IEEE Trans on Energy Convers, 2015, 30(1):376-383
[2] LEITE V, BORGES J, VELOSO G, et al. Detection of localized bearing faults in induction machines by spectral kurtosis and envelope analysis of stator current[J]. IEEE Trans on Industrial Electronics Electron, 2015, 62(3):1855-1865
[3] WANG J, HE Q, KONG F. Adaptive multiscale noise tuning stochastic resonance for health diagnosis of rolling element bearings[J]. IEEE Trans on Instrum Meas, 2015, 64(2):564-577
[4] SESHADRINATH J, SINGH B, PANIGRAHI B. Investigation of vibration signatures for multiple fault diagnosis in variable frequency drives using complex wavelets[J]. IEEE Trans on Power Electron, 2014, 29(2):936-945
[5] JIN X, ZHAO M, CHOW T, et al. Motor bearing fault diagnosis using trace ratio linear discriminant analysis[J]. IEEE Trans on Ind Electron, 2014, 61(5):2441-2451
[6] IMMOVILLI F, BIANCHINI C, COCCONCELLI M, et al. Bearing fault model for induction motor with externally induced vibration[J]. IEEE Trans on Ind Electron, 2013, 60(8):3408-3418
[7] TORREGROSSA D, KHOOBROO A, FAHIMI B. Prediction of acoustic noise and torque pulsation in PM synchronous machines with static eccentricity and partial demagnetization using field reconstruction method[J]. IEEE Trans on Ind Electron, 2012, 59(2):934-944
[8] STACK J, HABETLER T, HARLEY R. Fault-signature modeling and detection of inner-race bearing faults[J]. IEEE Trans on Industry Applications Appl, 2006, 42(1):61-68
[9] SINGLETON R, STRANGAS E, AVIYENTE S. Extended Kalman filtering for remaining-useful-life estimation of bearings[J]. IEEE Trans on Ind Electron, 2015, 62(3):1781-1790
[10] RANDALL R B, ANTONI J, CHOBSAARD S. The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals[J]. Mech Syst Signal Process, 2001, 15(5):945-962
[11] BARSZCZ T, JABLÓNSKI A. A novel method for the optimal band selection for vibration signal demodulation and comparison with the kurtogram[J]. Mech Syst Signal Process, 2011, 25(1):431-451
[12] KANG M, KIM J, KIM J M. High-performance and energy efficient fault diagnosis using effective envelope analysis and denoising on a general-purpose graphics processing unit[J]. IEEE Trans on Power Electron, 2015, 30(5):2763-2776
[13] ANTONI J. Cyclic spectral analysis of rolling-element bearing signals:Facts and fictions[J]. Journal of Sound and Vibration, 2007, 304(3/4/5):497-529
[14] URBANEK J, ANTONI J, BARSZCZ T. Detection of signal component modulations using modulation intensity distribution[J]. Mech Syst Signal Process, 2012, 28:399-413
[15] MCFADDEN P D, SMITH J D. Model for the vibration produced by a single point defect in a rolling element bearing[J]. Journal of Sound and Vibration, 1984, 96(1):69-82
[16] ANTONI J, RANDALL R B. A stochastic model for simulation and diagnostics of rolling element bearings with localized faults[J]. Journal of Vibration & Acoustics Transactions of the ASME, 2003, 125(3):282-289
[17] EPPS I, MCCALLION H. An investigation into the characteristics of vibration excited by discrete faults in rolling element bearings[C]//4th Annual Conference of Vibration Association of New Zealand, Christchurch, 1994
[18] SAWALHI N, RANDALL R B. Vibration response of spalled rolling element bearings observations, simulations and signal processing techniques to track the spall size[J]. Mech Syst Signal Process, 2011, 25(3):846-870
[19] ELFORJANI M, MBA D. Accelerated natural fault diagnosis in slow speed bearings with acoustic emission[J]. Eng Fract Mech, 2010, 77(1):112-127
[20] SANDY J. Monitoring and diagnostics for rolling element bearings[J]. Sound and Vibration, 1988, 20(6):1-20 |
|
|
|
|
|
|
|
