Xu Le,Li Wei,Zhang Bo,et al.Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy[J].Journal of Mechanical Transmission,2022,46(10):24-29. DOI: 10.16578/j.issn.1004.2539.2022.10.004.
Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy
针对小样本情况下齿轮箱复合故障特征难以识别的问题,提出了基于局部均值分解(Local mean decomposition,LMD)能量熵的齿轮箱故障诊断方法。利用LMD方法对齿轮箱振动信号进行处理,得到若干个PF分量;利用不同状态下齿轮箱振动信号在频域区间内分布不均的特性,计算出分量能量在频域区间离散的值,即LMD能量熵;通过不同状态下LMD能量熵的分布进行了齿轮箱故障分类。结果显示,在小样本情况下,基于LMD能量熵方法能够精确地对齿轮箱故障类型进行特征提取和故障诊断,也表明了该方法对齿轮箱故障诊断的优越性。
Abstract
Aiming at the problem that it is difficult to identify the composite fault characteristics of gearboxes in the case of small samples, a local mean decomposition(LMD) gearbox fault diagnosis method based on energy entropy is proposed. The LMD method is used to process the gearbox vibration signal to obtain several PF components;the dispersion value of component energy in the frequency domain is calculated using the uneven distribution of gearbox vibration signals in different states, which is the LMD energy entropy; the gearbox fault classification is carried out through the distribution of LMD energy entropy in different states. The experimental results show that in the case of small samples, the feature extraction and fault diagnosis of gearbox fault types can be accurately carried out based on the LMD energy entropy method, which also shows the superiority of this method in gearbox fault diagnosis.
关键词
齿轮箱局部均值分解能量熵故障诊断
Keywords
GearboxLocal mean decompositionEnergy entropyFault diagnosis
ZHANG Qian,WANG Tao,ZHAO Jieru,et al.Denoising algorithm for brillouin optical time-domain analysis sensing systems based on local mean decomposition[J].Acta Optica Sinica,2021,41(13):78-86.
KANG Wei,LIU Guanghui,DONG Zhen,et al.Fault diagnosis of gearbox based on singular spectrum and redundant lifting wavelet analysis[J].Journal of Mechanical Transmission,2018,42(4):170-172.
BAI Yangxi,CHEN Hongyue,CHEN Hongyan,et al.Application of smooth aggregate function wavelet algorithm in denoising of shearer pick load[J].Mechanical Science and Technology for Aerospace Engineering,2020,39(12):1944-1951.
ZHENG Jinde,SU Miuxian,PAN Haiyang,et al.Weighted mean-optimized empirical mode decomposition with adaptive noise and its applications in mechanical fault diagnosis[J].Journal of Vibration Engineering,2021,34(4):869-878.
WANG L M,SHAO Y M.Fault feature extraction of rotating machinery using a reweighted complete ensemble empirical mode decomposition with adaptive noise and demodulation analysis[J].Mechanical Systems and Signal Processing,2020,138:106545.1-106545.20.
YU Yaoting,HE Zhixian,SHI Peicheng.Calculation of gear mesh stiffness of cracked dedendum via energy method[J].Mechanical Science and Technology for Aerospace Engineering,2021,40(5):716-720.
SMITH J S.The local mean decomposition and its application to EEG perception data[J].Journal of the Royal Society Interface,2005,2(5):443-454.
CHENG Junsheng,YANG Yu,YU Dejie.The local mean decomposition method and its application to gear fault diagnosis[J].Journal of Vibration Engineering,2009,22(1):76-84.
LI Huimei,YANG Yingjie,FENG Huijuan.Enhancement method of gear fault feature based on improved LMD[J].Machine Tool & Hydraulics,2019,47(19):196-199.
HOSEINZADEH M S,KHADEM S E,SADOOGHI M S.Modifying the Hilbert-Huang transform using the nonlinear entropy-based features for early fault detection of ball bearings[J].Applied Acoustics,2019,150:313-324.
JIANG Lingli,TAN Hongchuang,LI Xuejun,et al.Fault diagnosis of spiral bevel gear based on CEEMDAN permutation entropy and SVM[J].Journal of Vibration,Measurement & Diagnosis,2021,41(1):33-40,198-199.
SHANG Xuemei,XU Yuangang.Maximum kurtosis entropy deconvolution gearbox fault diagnosis based on PSO[J].Journal of Electronic Measurement and Instrumentation,2020,34(7):64-72.
XIE Xiaozheng,LI Jun.ZHAO Rongzhen,et al.Fault diagnosis of rolling bearings based on SVD-LMD joint de-noising and TEO[J].Journal of Mechanical Transmission,2021,45(6):104-112.
TAO Ran,XU Youcai,HE Jie,et al.Feature extraction of the vibration signal of a high-speed elevator rolling guide shoe based on SSWD optimizing LMD[J].Journal of Vibration and Shock,2021,40(10):196-203.
ZHAN Xiaoyan,YOU Xiang´an,FEI Jingming.Rolling bearing fault severity recognition based on LMD and GNN-Adaboost[J].Measurement & Control Technology,2019,38(12):52-59.