参数同步优化随机共振在牵引传动系统早期微弱故障诊断中的应用

尹进田,唐杰,刘丽,刘新波,彭志华,李辉

振动与冲击 ›› 2021, Vol. 40 ›› Issue (17) : 234-240.

PDF(1518 KB)
PDF(1518 KB)
振动与冲击 ›› 2021, Vol. 40 ›› Issue (17) : 234-240.
论文

参数同步优化随机共振在牵引传动系统早期微弱故障诊断中的应用

  • 尹进田,唐杰,刘丽,刘新波,彭志华,李辉
作者信息 +

Application of parameter synchronous optimization stochastic resonance in early weak fault diagnosis of traction drive system

  • YIN Jintian, TANG Jie, LIU Li, LIU Xinbo, PENG Zhihua, LI Hui
Author information +
文章历史 +

摘要

为解决传统随机共振存在参数固定或仅对单个参数进行优化的不足,提出一种参数同步优化随机共振方法,该方法首先利用移频变尺度预处理实际大信号,使信号符合小参数条件;然后采用状态转移随机共振同步优化系统参数;最后通过频率恢复实现早期微弱故障特征最优提取。仿真和高速列车牵引传动系统硬件在环故障注入平台试验表明,该方法可以有效地从强背景噪声中检测出微弱故障信号,微弱信号提取和故障诊断的结果证明了其可行性和有效性。

Abstract

Here, to solve the problem of traditional stochastic resonance having fixed parameters or only optimizing a single parameter, a parameter synchronous optimization stochastic resonance method was proposed.Firstly, a real large signal was preprocessed with frequency shift and scale variation to make the signal conform to the condition of small parameter.Then, system parameters were synchronously optimized using state transition stochastic resonance.Finally, the optimal extraction of early weak fault features was realized through frequency recovery.Simulation and tests of high-speed train traction drive system hardware in the loop fault injection platform showed that the proposed method can effectively detect weak fault signals from strong background noise; the results of weak signal extraction and fault diagnosis verify the feasibility and effectiveness of the proposed method.

关键词

随机共振 / 参数同步优化 / 状态转移 / 牵引传动系统

Key words

stochastic resonance / parameter synchronous optimization / state transition / traction drive system

引用本文

导出引用
尹进田,唐杰,刘丽,刘新波,彭志华,李辉. 参数同步优化随机共振在牵引传动系统早期微弱故障诊断中的应用[J]. 振动与冲击, 2021, 40(17): 234-240
YIN Jintian, TANG Jie, LIU Li, LIU Xinbo, PENG Zhihua, LI Hui. Application of parameter synchronous optimization stochastic resonance in early weak fault diagnosis of traction drive system[J]. Journal of Vibration and Shock, 2021, 40(17): 234-240

参考文献

[1]LI J,LI H,LEI Z Y.Research on the weak signal detection based on adaptive filtering of wavelet transform[J].Procedia Engineering, 2011, 15: 2583-2587.
[2]DHARMESH P, CHOTHANI G, KHYATI D, et al.Design and development of fault classification algorithm based on relevance vector machine for power transformer [J].IET Electric Power Applications, 2018, 12(4): 557-565.
[3]何雷,刘溯奇,蒋婷,等.基于改进LMD与BP神经网络的变速箱故障诊断[J].机械传动,2020,44(1):171-176.
HE Lei, LIU Suqi, JIANG Ting, et al.Gearbox fault diagnosis based on improved LMD and BP neural network[J].Journal of Mechanical Transmission, 2020,44(1):171-176.
[4]YU J B, LV J X.Weak fault feature extraction of rolling bearings using local mean decomposition-based multilayer hybrid denoising [J].IEEE Transactions on Instrumentation and Measurement, 2017, 66(12): 3148-3159.
[5]杜锴,方向,张胜,等.基于更新提升形态小波变换的车辆目标震动信号特征提取[J].振动与冲击,2018,37(16):135-139.
DU Kai, FANG Xiang, ZHANG Sheng,et al.Feature extraction of vehicle vibration signals based on update lifting morphological wavelet transform[J].Journal of Vibration and Shock, 2018,37(16):135-139.
[6]朱静,邓艾东,邓敏强,等.基于 RSIFICA 的行星齿轮箱故障诊断方法[J].东南大学学报(自然科学版),2020,50(2):377-384.
ZHU Jing, DENG Aidong, DENG Minqiang, et al.Fault diagnosis method of planetary gear box based on RSIFICA[J].Journal of Southeast University(Natural Science Edition), 2020,50(2): 377-384.
[7]BENZI R, SUTERA A, VULPIANI A.The mechanism of stochastic resonance [J].Journal of Physics A: Mathematical and General, 1981, 14: 453-457.
[8]WANG J, HE Q B, KONG F R.An improved multiscale noise tuning of stochastic resonance for identifying multiple transient faults in rolling element bearings [J].Journal of Sound and Vibration, 2014, 333: 7401-7421.
[9]MCNAMARA B,WIESENFELD K.Theory of stochastic resonance [J].Physical Review A,1989,39(9):4854-4869.
[10]LEI Y G, HAN D, LIN J, et al.Planetary gearbox fault diagnosis using an adaptive stochastic resonance method [J].Mechanical Systems and Signal Processing,2013,38(1): 113-124.
[11]QIAO Z J, LEI Y G, LIN J, et al.An adaptive unsaturated bistable stochastic resonance method and its application in mechanical fault diagnosis [J].Mechanical Systems and Signal Processing, 2017, 84: 731-746.
[12]张刚,吴瑕.基于 Hilbert 的单边带调制随机共振的微弱信号检测[J].电子测量与仪器学报,2019,33(2):10-17.
ZHANG Gang,WU Xia.Weak signal detection based on Hilbert’s single sideband modulated stochastic resonance [J].Journal of Electronic Measurement and Instrumentation, 2019,33(2):10-17.
[13]夏均忠, 刘远宏, 马宗坡,等.基于调制随机共振的微弱信号检测研究[J].振动与冲击, 2012,31(3): 132-135.
XIA Junzhong, LIU Yuanhong, MA Zongpo, et al.Weak signal detection based on the modulated stochastic resonance [J].Journal of Vibration and Shock, 2012,31(3): 132-135.
[14]LI J M, CHEN X F, HE Z J.Adaptive stochastic resonance method for impact signal detection based on sliding window [J].Mechanical Systems and Signal Processing,2013,36: 240-255.
[15]QIN Y, TAO Y, HE Y, et al.Adaptive bistable stochastic resonance and its application in mechanical fault feature extraction [J].Journal of Sound and Vibration, 2014, 333: 7386-7400.
[22]尹进田, 谢永芳, 阳春华.基于 RVMD 的牵引电机转子初期断条故障监测[J].控制与决策, 2018,33(3): 497-502.
YIN Jintian, XIE Yongfang, YANG Chunhua.Monitoring of incipient rotor bars broken fault in traction motors based on RVMD method[J].Control and Decision, 2018, 33(3): 497-502.
[16]TAN J Y, CHEN X F, WANG J Y, et al.Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis[J].Mech Syst Signal Process, 2009, 23(3): 811-822.
[17]ZHOU X, GAO D, YANG C, et al.Discrete state transition algorithm for unconstrained integer optimization problems[J].Neurocomputing, 2016, 173(3): 864-874.
[18]尹进田,谢永芳,陈志文,等.基于故障传播与因果关系的故障溯源方法及其在牵引传动控制系统中的应用[J].自动化学报,2020,46(1):47-57.
YIN Jintian, XIE Yongfang, CHEN Zhiwen, et al.Fault tracing method based on fault propagation and causality with its application to the traction drive control system [J].Acta Automatica Sinica, 2020,46(1):47-57.
[19]YANG X Y, YANG C H, PENG T, et al.Hardware-in-the-loop fault injection for traction control system[J].IEEE Journal of Emerging and Selected Topics in Power Electronics, 2018, 6(2): 696-706.
[20]YIN J T, XIE Y F, PENG T.Current characteristics analysis and fault injection of an early weak fault in broken rotor bar of traction motor[J].Mathematical Problems in Engineering, 2018, 2018: 1-8.
[21]GEORGE G, VICENTE C A, JOSE A, et al.The use of a multilabel classification framework for the detection of broken bars and mixed eccentricity faults based on the start-up transient [J].IEEE Transactions on Industrial Informatics, 2017, 13(2): 625-634.

PDF(1518 KB)

Accesses

Citation

Detail

段落导航
相关文章

/