Tacho-less order tracking method of wind turbine gearbox under time-varying conditions

被引：0
|
作者：
Wan S.-T. [1 ]
Wang Y.-J. [1 ]
Zhang X. [1 ]
Gu X.-H. [2 ]
机构：
[1] Hebei Key Laboratory of Electric Machinery Health Maintenance & Failure Prevention, North China Electric Power University, Baoding
[2] State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang
来源：
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2023年 / 36卷 / 01期
关键词：
fault diagnosis; order tracking; tacho-less; time-frequency analysis; time-varying conditions; wind turbine gearbox;
D O I：
10.16385/j.cnki.issn.1004-4523.2023.01.028
中图分类号：
学科分类号：
摘要：
In view of the problem of noise interference and frequency ambiguity of vibration signal of wind turbine gearbox under time-varying conditions, the method of tacho-less order tracking for wind turbine gearbox based on time-varying conditions and VMD-SET is proposed, which is based on the exploration of the relationship between vibration signal of wind turbine gearbox and rotation frequency fluctuation law in the circumstance of tacho-less. In this method, firstly time-frequency analysis to vibration signal of gearbox is processed using the method of SET (Synchroextracting Transform) after filtering by VMD (variational mode decomposition). And fault characteristic frequency trend is extracted preliminarily from bearing fault time domain vibration signal and time-frequency ridge lines of meshing frequency are also obtained from normal gear meshing modulation time domain vibration signal. By fine time-frequency ridge lines cross decoupling, local instantaneous frequency extraction effect is optimized. Then the extracted speed curve is used to track the order of the bearing fault vibration signal, and a single spectral line of the fault characteristic order is obtained from the order spectrum of the angular domain signal after order tracking. Simulations and experiments verify the superiority and effectiveness of the method proposed. © 2023 Nanjing University of Aeronautics an Astronautics. All rights reserved.
引用
收藏
页码：266 / 279
页数：13
相关论文
共 20 条
  • [11] Luo Yingchao, Cui Lingli, Zhang Jianyu, Et al., Vibration mechanism and improved phenomenological model of the planetary gearbox with broken ring gear fault, Journal of Mechanical Science and Technology, 35, 5, pp. 1867-1879, (2021)
  • [12] Xu Zhihua, Pan Tinglong, Noise reduction method of fan gearbox vibration signal based on variational mode decomposition, Journal of Mechanical & Electrical Engineering, 38, 1, pp. 129-132, (2021)
  • [13] Zhang Yuhao, Research of fault diagnosis method of key parts for gear box based on impact feature, (2016)
  • [14] Wan Shuting, Cheng Lifeng, Sheng Xiaoling, Analysis of wind turbine power oscillation characteristics based on the equivalent wind speed, Noise and Vibration Control, 36, 3, pp. 127-131, (2016)
  • [15] Cheng Lifeng, Study on yaw system error and control strategy of the wind turbine, (2017)
  • [16] Sheng Xiaoling, Wan Shuting, Li Yonggang, Et al., Fault diagnosis for blade mass imbalance of wind turbines with DFIG based on coordinate transformation, Transactions of China Electrotechnical Society, 31, 7, pp. 188-197, (2016)
  • [17] Sheng Xiaoling, Wan Shuting, Li Yonggang, Et al., Characteristic analysis of doubly-fed induction generator under blade mass imbalance fault, Acta Energiae Solaris Sinica, 38, 5, pp. 1324-1332, (2017)
  • [18] Liu Changliang, Wu Yingjie, Zhen Chenggang, Rolling bearing fault diagnosis based on variational mode decomposition and fuzzy C means clustering, Proceedings of the CSEE, 35, 13, pp. 3358-3365, (2015)
  • [19] Wang Xiaolong, Research on fault diagnosis method of rolling bearing based on vibration signal processing, (2017)
  • [20] Zhang Liqiang, Cong Wei, Dong Gang, Et al., Method for single-phase electric meter phase identification based on multiple linear regression, Electric Power Automation Equipment, 40, 5, pp. 144-156, (2020)
12