时变工况行星齿轮箱对数时频脊阶次谱故障特征提取

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摘要风电机组齿轮箱工作于强噪声且变转速变载荷的工况下，其振动信号非常复杂。建立了一个时变转速变载荷的行星齿轮箱振动信号模型。提出了时频脊阶次谱故障特征提取方法。对振动信号进行Wigner-Ville时频变换，取对数后进行重排；采用Crazy climber方法提取对数重排时频谱图中的峰值脊线；将脊线转换为时频脊阶次谱。通过仿真信号与转速、载荷连续波动实验数据表明，对数时频脊阶次谱故障特征能够为时变复杂工况行星齿轮箱故障预警提供有效的依据。

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	孟玲霞
	徐小力
	左云波

关键词 ：行星齿轮箱, 时变工况, 时频脊阶次谱, 故障特征提取

Abstract：The gearbox of wind turbine works under the condition of strong noise and time-varying speed and load, and its vibration signal is very complex. A vibration signal model of planetary gearbox with time-varying speed and load was established. A fault feature extraction method of time-frequency ridge order spectrum was proposed. First of all, the vibration signal was transformed by Wigner-Ville time-frequency transform, and then logarithmized and rearranged. Then, the peak ridge in the logarithmic rearrangement time spectrum was extracted by Crazy climber method. Finally, the ridge was converted into the time-frequency ridge order spectrum. The simulation signal and the experimental data of continuous fluctuation of rotational speed and load show that the fault characteristics of logarithmic time-frequency ridge order spectrum can provide an effective basis for fault early warning of planetary gearbox under time-varying complex conditions.

Key words： planetary gearbox time-varying condition time-frequency ridge order spectrum fault feature extraction

收稿日期: 2018-07-05 出版日期: 2020-03-28

引用本文:

孟玲霞，徐小力，左云波. 时变工况行星齿轮箱对数时频脊阶次谱故障特征提取[J]. 振动与冲击, 2020, 39(7): 163-169.
MENG Lingxia，XU Xiaoli，ZUO Yunbo. Fault feature extraction of logarithmic time-frequency ridge order spectrum of planetary gearbox under time-varying conditions. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(7): 163-169.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2020/V39/I7/163

[1]雷亚国,何正嘉,林京等. 行星齿轮箱故障诊断技术的研究进展[J]. 机械工程学报, 2011, 47 (19):59-67.

LEI Ya-guo, HE Zheng-jia, LIN Jing, et al. Research advances of fault diagnosis technique for planetary gearboxes[J]. Journal of Mechanical Engineering, 2011, 19 (47):59-67.

[2]SAADA A,VELEX P. An Extended model for the analysis of the dynamic behavior of planetary trains[J].ASME,Journal of Mechanical Design,1995,117(2A):241~247.

[3]冯志鹏,褚福磊. 行星齿轮箱齿轮分布式故障振动频谱特征[J]. 中国电机工程学报, 2013,33(02):118-125.

FENG Zhi-peng, CHU Fu-lei. Vibration spectral characteristics of distributed gear fault of planetary gearboxes [J]. Proceedings of The Chinese Society for Electrical Engineering, 2013,33(02):118-125.

[4]冯志鹏，禇福磊. 行星齿轮箱故障诊断的频率解调分析方法[J].中国机械工程学报,2013,33(11):112-117.

FENG Zhi-peng, CHU Fu-lei. Frequency demodulation analysis method for dault diagnosis of planetary gearboxes [J]. Proceedings of The Chinese Society for Electrical Engineering, 2013,33(11):112-117.

[5]INALPOLAT M, KAHRAMAN A. A theoretical and experimental investigation of modulation sidebands of planetary gear sets[J]. Journal of Sound and Vibration, 2009, 323(4)：677-696.

[6]Villa L F, RENONES A, PERAN J R, et al. Augular resampling for vibration analysis in wind turbines under non-linear speed fluctuation[J]. Mechanical System and Signal Processing, 2011,25:2157-2168.

[7]Abboud D, Antoni J, Eltabach M, et al. Envelop analysis of rotating machine vibrations in variable speed conditions: A comprehensive treatment[J]. Mechanical System and Signal Processing, 2017,845:200-226.

[8]Liang X H, Zuo M J, Zuo, Hoseini M R. Vibration signal modeling of a planetary gear set for tooth crack detection, Engineering Failure Analysis, 2015,48(2):185-200.

[9]高勇.时频分析与盲信号处理[M].国防工业出版社，2017,1.

GAO Yong. Time-frequency analysis and blind signal processing[M]. National Defense Industry Pres,2017,1.

[10]雷亚国,汤伟,孔德同等. 基于传动机理分析的行星齿轮箱振动信号仿真及其故障诊断[J]. 机械工程学报,2014,50(17):61-68.

LEI Ya-guo, TANG Wen, KONG De-tong, et al. Vibration signal simulation and fault diagnosis of planetary gearboxes based on transmission mechanism analysis[J]. Journal of Mechanical Engineering.2014,50(17):61-68.

[11]程军圣,李宝庆,杨宇. 基于广义解调时频分析和瞬时频率计算的阶次谱方法在齿轮故障诊断中的应用[J]. 振动与冲击, 2011, 30 (09):30-34.

CHENG Jun-sheng，LI Bao-qing，YANG Yu. Application of order spectrum method based on generalized demodulation time-frequency analysis and instantaneous frequency calculation to gear fault diagnosis [J]. Journal of Vibration and Shock, 2011, 30 (09):30-34.

[12]ANTONIADOU I, MANSON G, STASZEWSKI W J, et al. A time–frequency analysis approach for condition monitoring of a wind turbine gearbox under varying load conditions[J]. Mechanical Systems and Signal Processing, 2015, 64-65 (12):188-216.

[13]FENG ZH P, CHEN X W, LIANG M. Joint envelope and frequency order spectrum analysis based on iterative generalized demodulation for planetary gearbox fault diagnosis under nonstationary conditions [J]. Mechanical Systems and Signal Processing, 2016, 76-77 (8): 242-264.

[14]YANG Y, DONG X J, PENG Z K, et al. Vibration signal analysis using parameterized time-frequency method for features extraction of varying-speed rotary machinery [J]. Journal of Sound and Vibration, 2015, 335(20):350-366.

[15] 孟玲霞, 徐小力, 蒋章雷等. 风电机组齿轮箱早期故障预警方法研究[J]. 仪器仪表学报, 2016,37(12):2758-2765.

MENG Ling-xia, XU Xiao-li, JIANG Zhang-lei, et al. Study on the early fault warning method for wind turbine gearbox[J]. Chinese Journal of Scientific Instrument, 2016, 37(12):2758-2765.