Stator Current Signatures Diagnosis Method of Planetary Gearbox

被引:0
|
作者
机构
关键词
D O I
10.16450/j.cnki.issn.1004-6801.2022.04.007
中图分类号
学科分类号
摘要
To solve the problems of high cost of conventional vibration detection technology and difficulty in field installation and implementation in planetary gearbox fault diagnosis of wind power doubly fed induction generator (DFIG), an indirect diagnosis method directly using DFIG stator current signal is proposed. A simple and feasible fault simulation test bench for DFIG transmission system is established by using general equipment such as motor, planetary gearbox and frequency converter. Through conducting simulation experiments in the laboratory and Hilbert demodulation spectrum diagnosis method, taking planetary gear as an example, the fault induction mechanism of DFIG stator current signatures in transmission system is studied, and the variation law of fault characteristic frequency composition with operating conditions of the generator is investigated. By comparing with the vibration acceleration signal and the torsional vibration signal, it is shown that the DFIG stator current signatures can reflect the vibration characteristics of the radial vibration and the torsional vibration signal of the planetary gear. So, it can be used as an effective alternative or supplementary method for conventional vibration detection technology of actual wind turbine. © 2022 Journal of Vibration,Measurement & Diagnosis. All rights reserved.
引用
收藏
页码:671 / 676
页数:5
相关论文
共 9 条
  • [1] LEI Yaguo, TANG Wei, KONG Detong, Et al., Vibration signal simulation and fault diagnosis of planetary gearboxes based on transmission mechanism analysis[J], Journal of Mechanical Engineering, 50, 17, pp. 45-52, (2014)
  • [2] HENAO H., Modeling and simulation of planetary gearbox effects on a wound rotor induction machine, 2012 IEEE International Symposium on Industrial Electronics, pp. 1234-1239, (2012)
  • [3] CHEN Xuefeng, LI Jimeng, CHENG Hang, Et al., Research and application of condition monitoring and fault diagnosis technology in wind turbines [J], Journal of Mechanical Engineering, 47, 9, pp. 45-52, (2011)
  • [4] YAN Bin, DONG Dawei, HUA Chunrong, Et al., Torsional vibration measuring and its application to diagnosis of individual cylinder misfires[J], Journal of Vibration,Measurement & Diagnosis, 24, 4, pp. 294-297, (2004)
  • [5] MARZEBALI H M,, FAIZ J,, CAPOLINO G A, Et al., Planetary gear fault detection based on mechanical torque and stator current signatures of wound rotor induction generator[J], IEEE Transactions on Energy Conversion, 33, 3, pp. 1072-1085, (2018)
  • [6] CAPOLINO G A., Torsional vibration effects on induction machine current and torque signatures in gearbox-based electromechanical system[J], IEEE Transactions on Industrial Electronics, 56, 11, pp. 4690-4699, (2009)
  • [7] FENG Z P, ZUO M J., Induction motor stator current AM-FM model and demodulation analysis for planetary gearbox fault diagnosis [J], IEEE Transactions on Industrial Informatics, 15, 4, pp. 2386-2394, (2019)
  • [8] ZHANG J, GAJANAYAKE C., Stator current analysis from electrical machines using resonance residual technique to detect faults in planetary gearboxes [J], IEEE Transactions on Industrial Electronics, 62, 9, pp. 5709-5721, (2015)
  • [9] NETI P,, ZHANG P,, SHAH M,, Et al., Electrical signature analysis based online monitoring of drive-trains for doubly-fed wind generators, 38th Annual Conference on IEEE Industrial Electronics Society, pp. 1746-1769, (2012)