Chen Xiangmin,Duan Meng,Li Qi,et al.Fault Diagnosis of Variable Speed Gear based on ATF and ASAD[J].Journal of Mechanical Transmission,2021,45(10):144-150.
Chen Xiangmin,Duan Meng,Li Qi,et al.Fault Diagnosis of Variable Speed Gear based on ATF and ASAD[J].Journal of Mechanical Transmission,2021,45(10):144-150. DOI: 10.16578/j.issn.1004.2539.2021.10.023.
Fault Diagnosis of Variable Speed Gear based on ATF and ASAD
针对变工况、强噪声状态下齿轮的故障特征难以提取的问题,提出了一种基于自适应时变滤波(Adaptive time-varying filtering,ATF)与角域同步平均降噪(Angle domain synchronous average denoising,ASAD)的齿轮故障诊断方法。将ASAD与ATF相结合,对降噪后的信号进行阶次谱分析,并通过阶次谱中的调制边频带即可诊断齿轮局部故障。通过分析模拟数据及变转速齿轮箱试验台的数据表明,该方法对变转速状态下的齿轮振动信号有很好的信号分析自适应性,不仅能很好地滤除噪声干扰,提升通带内的噪声抑制效果,且能有效凸显变转速下的齿轮故障特征。
Abstract
Aiming at the problem that is difficult to extract the fault features of gears under variable working and strong noise conditions,a fault diagnosis method based on adaptive time-varying filtering(ATF) and angle domain synchronous average(ASAD) is proposed. By combining ASAD and ATF,the signal after noise reduction is analyzed by order spectrum,and the local fault of gear can be diagnosed by modulation side frequency band in order spectrum. The simulation data and the data analysis of the variable speed gearbox test bench show that the proposed method has a good signal analysis adaptability for the gear vibration signals under the variable speed condition,and can not only filter out noise interference well,improve the noise suppression effect in the pass band,but also effectively highlight the gear fault characteristics under the variable speed condition.
PEI Junfeng,SUN Jianhua,SONG Chuanzhi,et al.Rolling bearing fault diagnosis method based on EEMD denoising and correlation coefficient identification[J].Journal of Mechanical Transmission,2018,42(4):150-155.
DRAGOMIRETSKIY K,ZOSSO D.Variational mode decom-position[J].IEEE Transactions on Signal Processing,2014,62(3):531-544.
ZHAO Xinhai,ZHANG Shuchen,LI Zhishen,et al.Application of new denoising method based on VMD in fault feature extraction[J].Journal of Vibration,Measurement and Diagnosis,2018,38(1):11-19.
LI J M,YAO X F,WANG H,et al.Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis[J].Mechanical Systems and Signal Processing,2019,126:568-589.
PAN Gaoyuan,LI Shunming,DU Huarong,et al.Feature extracting method for gearbox tooth breakage under impact based on the S-transform time-frequency spectrum combined with the denoising by SVD[J].Journal of Vibration and Shock,2019,38(18):256-263.
LIU B T,LIU Q Y.Random noise reduction using SVD in the frequency domain[J].Journal of Petroleum Exploration and Production Technology,2020,10:1-9.
GILLES J.Empirical wavelet transform[J].IEEE Transactions on Signal Processing,2013,61(16):3999-4010.
ZHU Wenying,FENG Zhipeng.Fault diagnosis of planetary gearbox based on improved empirical wavelet transform[J].Chinese Journal of Scientific Instrument,2016,37(10):2193-2201.
LI Zhinong,ZHU Ming,CHU Fulei,et al.Mechanical fault diagnosis method based on empirical wavelet transform[J].Chinese Journal of Scientific Instrument,2014,35(11):2423-2432.
XIANG Ling,LI Yuanyuan.Application of empirical wavelet transform in fault diagnosis of rotary mechanisms[J].Journal of Chinese Society of Power Engineering,2015,35(12):975-981.
HE Yangyang,LÜ Yuegang,LIU Juncheng.Fault diagnosis of rolling bearing based on VMD and particle filter[J].Renewable Energy Resources,2019,37(1):126-131.
CHEN Xiangmin,ZHANG Kang,JIN Fenghua,et al.Adaptive time-frequency filtering based fault characteristics extraction method for gears under variable rotational speed[J].Journal of Vibration and Shock,2018,37(10):135-140.
WANG Kuang,WANG Kesheng,ZUO Mingjian.Fault diagnosis of a planetary gearbox based on order tracking[J].Journal of Vibration and Shock,2016,35(5):140-145.
SONG Baoyu,XIE Zhijie,ZHANG Feng,et al.Fault diagnosis algorithm for helical gear rotating at low speed on angular domain synchronous average and order tracking analysis[J].Journal of Jilin University (Engineering and Technology Edition),2015,45(2):454-459.
PENG Fuqiang,YU Dejie,WU Chunyan.Self-adaptively time-varying filter based order tracking method and its application in gearbox fault diagnosis[J].Journal of Mechanical Engineering,2012,48(7):77-85.
FENG Wuwei,LI Pengpeng,ZHANG Yulian,et al.Time domain average denoising method for mechanical signals by using multi-band filtering[J].Journal of Vibration and Shock,2017,36(21):192-195.
DAI Shichao,GUO Yu,WU Xing.Gear-box rolling bearings' fault features extraction based on cepstrum editing and time domain synchronous average[J].Journal of Vibration and Shock,2015,34(21):205-209.
FU Sheng,LÜ Mengchen.Research of gear fault based on virtual prototyping technology[J].Mechanical Science and Technology for Aerospace Engineering,2016,35(9):1370-1374.
WU C Y,LIU J,PENG F Q,et al.Gearbox fault diagnosis using adaptive zero phase time-varying filter based on multi-scale chirplet sparse signal decomposition[J].Chinese Journal of Mechanical Engineering,2013,26(4):831-838.
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