风电齿轮箱两级齿圈故障下振动信号幅值耦合调制建模

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摘要风电齿轮箱的多级混合传动结构致使实测振动信号相互叠加、耦合调制，已有的单级轮系振动信号模型不能完全描述该现象，为此，提出一种针对级间串联调制与交叉调制现象的幅值耦合调制模型。首先，采用基于Hilbert变换的幅值解调方法对耦合调制特性进行仿真分析，指出将多载波信号分解为单载波信号的必要性；采用常见的信号分解方法和传统窄带滤波法对齿轮箱振动信号进行分解，通过对比分析其特点，最终选定传统窄带滤波法；结合幅值解调分析两级齿圈故障下的级间耦合调制现象及不同测点处的耦合调制规律。结果表明：两级齿圈故障下，多个幅值调制频率形成了级间串联调制，且与多个载波形成交叉调制，验证了所提级间串联调制与交叉调制模型的合理性；通过对不同测点的振动信号分析，进一步验证了所建模型的有效性和实用性，为风电齿轮箱故障诊断提供模型支撑。

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	辛红伟1
	安伟伦2
	武英杰1
	刘少康1
	田野1
	3
	王建国1

关键词 ：风电齿轮箱, 级间耦合调制, 幅值调制, 振动模型

Abstract：The multi-stage hybrid transmission structure of the wind turbine gearbox causes the vibration signals of the measuring points to be superimposed, coupled and modulated, which increases the difficulty of actual fault diagnosis. For this reason, the analysis and modeling of the gearbox vibration signal amplitude modulation has practical engineering significance. First, the traditional narrow-band filtering method is adopted to perform band-pass filtering with the meshing frequencies of the gearbox as the center frequencies, and the modulation frequency of each frequency band under compound faults is determined by amplitude demodulation. In order to realize automatic signal decomposition, the effectiveness of typical wind turbine gearbox fault diagnosis based on signal adaptive decomposition method is compared and analyzed. On this basis, a vibration signal model of a wind turbine gearbox considering the compound faults of the primary and secondary ring gears was established. The results show that under two-stage ring gear failure, multiple amplitude modulation frequencies form inter-stage series modulation, and form cross-modulation with multiple carriers, verifying the rationality of the proposed two-stage series modulation and cross-modulation models; The vibration signal analysis of different measuring points further verified the validity and practicability of the built model, and provided model support for the fault diagnosis of wind power gearboxes.

Key words： wind turbine gearbox coupling modulation between two stages amplitude modulation vibration model

收稿日期: 2021-02-03 出版日期: 2021-11-28

引用本文:

辛红伟1，安伟伦2，武英杰1，刘少康1，田野1，3，王建国1. 风电齿轮箱两级齿圈故障下振动信号幅值耦合调制建模[J]. 振动与冲击, 2021, 40(22): 221-233.
XIN Hongwei1, AN Weilun2, WU Yingjie1, LIU Shaokang1, TIAN Ye1,3, WANG Jianguo1. Analysis and modeling of the vibration signal amplitude modulation of wind turbine gearboxes with compound faults. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(22): 221-233.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2021/V40/I22/221

[1] 陈雪峰, 郭艳婕, 许才彬, 等. 风电装备故障诊断与健康监测研究综述[J]. 中国机械工程, 2020, 31(2): 175-189.
    CHEN Xue-feng, GUO Yan-jie, XU Cai-bin, et al. Review of Fault Diagnosis and Health Monitoring for Wind Power Equipment[J]. China Mechanical Engineering, 2020, 31(2): 175-189.
[2] 汤宝平, 罗雷, 邓蕾, 等. 风电机组传动系统振动监测研究进展[J]. 振动、测试与诊断, 2017, 37(3): 417-425.
        TANG Bao-ping, LUO Lei, DENG Lei, et al. Research Progress of Vibration Monitoring for Wind Turbine Transmission System[J]. Vibration, testing and diagnosis, 2017, 37(3): 417-425.
[3] 丁显, 徐进, 滕伟, 等. 风电机组状检测技术研究现状及发展趋势[J]. 可再生能源, 2017, 35(10): 1551-1557.
        DING Xian, XU Jin, TENG Wei, et al. Research status and development trend of wind turbine condition detection technology[J]. Renewable Energy, 2017, 35(10): 1551-1557.
[4] Maheswari R U, Umamaheswari R. Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey[J]. Mechanical Systems and Signal Processing, 2017, 85: 296-311.
[5] Loutas T H, Roulias D, Pauly E, et al. The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery[J]. Mechanical Systems and Signal Processing, 2011, 25(4): 1339-1352.
[6] Ferrando Chacon J L, Andicoberry E A, Kappatos V, et al. An experimental study on the applicability of acoustic emission for wind turbine gearbox health diagnosis[J]. Journal of Low Frequency Noise Vibration and Active Control, 2016, 35(1): 64-76.
[7] Astolfi D, Scappaticci L, Terzi L. Fault Diagnosis of Wind Turbine Gearboxes Through Temperature and Vibration Data[J]. International Journal of Renewable Energy Research, 2017, 7(2): 965-976.
[8] WANG Tian-yang, HAN Qin-kai, CHU Fu-lei, et al. Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review[J]. Mechanical Systems and Signal Processing, 2019, 126: 662-685.
[9] 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 Wei, 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.
[10] LEI Ya-guo, HAN Dong, LIN Jing, HE Zheng-jia, et al. Planetary gearbox fault diagnosis using an adaptive stochastic resonance method[J]. Mechanical Systems and Signal Processing, 2013, 38(1): 113-124.
[11] FENG Zhi-peng, LIANG Ming. Fault diagnosis of wind turbine planetary gearbox under nonstationary conditions via adaptive optimal kernel time-frequency analysis[J]. Renewable Energy, 2014, 66: 468-477.
[12] Inalpolat M, Kahraman A. A theoretical and experimental investigation of modulation sidebands of planetary gear sets[J]. Journal of Sound and Vibration, 2009, 323(3-5): 677-696.
[13] Parra J, Vicuna C M. Two methods for modeling vibrations of planetary gearboxes including faults: Comparison and validation[J]. Mechanical Systems and Signal Processing, 2017, 92: 213-225.
[14] 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(2): 118-125.
    FENG Zhi-peng, CHU Fu-lei. Vibration Spectral Characteristics of Distributed Gear Fault of Planetary Gearboxes[J]. Proceedings of the CSEE, 2013, 33(2): 118-125.
[15] 冯志鹏, 赵镭镭, 褚福磊. 行星齿轮箱齿轮局部故障振动频谱特征[J]. 中国电机工程学报, 2013, 33(5): 119-123.
    FENG Zhi-peng, ZHAO Lei-lei, CHU Fu-lei. Vibration    Spectral Characteristics of Localized Gear Fault of Planetary Gearboxes[J]. Proceedings of the CSEE, 2013, 33(5): 119-123.
[16] 黄奕宏, 丁康, 何国林. 行星传动系统振动信号数学模型及特征频率分析[J]. 机械工程学报, 2016, 52(7): 46-53.
    HUANG Yi-hong, DING Kang, HE Guo-lin. Mathematical Model of Planetary Gear Sets’ Vibration Signal and Characteristic Frequency Analysis[J]. Journal of Mechanical Engineering, 2016, 52(7): 46-53.
[17] LEI Ya-guo, HAN Dong, LIN Jing, et al. Planetary gearbox fault diagnosis using an adaptive stochastic resonance method[J]. Mechanical Systems and Signal Processing, 2013, 38(1): 113-124.
[18] Ha Jong M, Youn Byeng D, Oh Hyunseok, et al. Autocorrelation-based time synchronous averaging for condition monitoring of planetary gearboxes in wind turbines[J]. Mechanical Systems and Signal Processing, 2016, 70-71: 161-175.
[19] HE Guo-lin, DING Kang, LI Wei-hua, et al. A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique[J]. Renewable Energy, 2016, 87: 364-375.
[20] FENG Zhi-peng, CHEN Xiao-wang, LIANG Ming. Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions[J]. Mechanical Systems and Signal Processing, 2015, 52-53: 360-375.
[21] 桂勇, 韩勤锴, 李峥, 等. 风机行星齿轮系统齿轮裂纹故障诊断[J]. 振动、测试与诊断, 2016, 36(1): 169-205.
GUI Yong, HAN Qin-kai, LI Zheng, et al. The Fault Diagnosis of Cracks in the Planetary Gear System of Wind Turbine[J]. Vibration, testing and diagnosis, 2016, 36(1): 169-205.
[22] LIU Hong, Jaspreet S D, Shuang W S. An explanation of frequency features enabling detection of faults in equally spaced planetary gearbox[J]. Mechanism and Machine Theory, 2014, 73: 169-183.
[23] TENG Wei, DING Xian, CHENG Hao, et al. Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform[J]. Renewable Energy, 2019, 136: 393-402.
[24] HE Guo-lin, DING Kang, LI Wei-hua, et al. A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique[J]. Renewable Energy, 2016, 87: 364-375.
[25] WU Ying-jie, HU Zhong-zhong, AN Wei-lun, et al. Automatic diagnosis of rolling element bearing under different conditions based on RVMD and envelope order capture[J]. IEEE Access, 2019, 7: 91799-91808.
[26] Wang Yan-xue. and R. Markert. Filter bank property of variational mode decomposition and its applications[J]. Signal Processing, 2016, 120: 509-521.
[27] Huang NE, Shen Z, Long SR, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A-Mathematical Physical and Engineering Sciences. 1998, 454(1971): 903-995.
[28] Feng Zhi-peng, Zuo Ming-jian, Qu Jian, et al. Joint amplitude and frequency demodulation analysis based on local mean decomposition for fault diagnosis of planetary gearboxes[J]. Mechanical systems and signal processing. 2013, 40(1): 56-75.
[29] 张冕. 行星齿轮箱关键零部件故障诊断[D]. 成都: 电子科技大学, 2019.
ZHANG Mian. Fault diagnosis of key parts of planetary gearbox[D]. Chengdu: University of Electronic Science and Technology, 2019.