Tian Jiabin,Nie Yanyan,Chen Xiaoxu,et al.Fault Diagnosis of Wind Turbine Gearbox based on Signal Model and Order Analysis[J].Journal of Mechanical Transmission,2022,46(02):91-95.
Tian Jiabin,Nie Yanyan,Chen Xiaoxu,et al.Fault Diagnosis of Wind Turbine Gearbox based on Signal Model and Order Analysis[J].Journal of Mechanical Transmission,2022,46(02):91-95. DOI: 10.16578/j.issn.1004.2539.2022.02.015.
Fault Diagnosis of Wind Turbine Gearbox based on Signal Model and Order Analysis
Aiming at the phenomenon of spectrum ambiguity caused by traditional spectrum analysis method under non-stationary load, a signal model and order analysis method is used to study the fault diagnosis of the wind turbine gearbox. The vibration signal model of high speed stage of gearbox under non-stationary load is established, and the structure of time spectrum and order spectrum is derived. The order analysis method is used to analyze the order spectrum of vibration signal and extract gear fault feature. Finally, the real wind field gearbox data is analyzed, and the fault in gearbox is identified accurately.
DAO C,KAZEMTABRIZI B,CRABTREE C.Wind turbine reliability data review and impacts on levelised cost of energy[J].Wind Energy,2019,22(12):1848-1871.
QIAO W,LU D G.A survey on wind turbine condition monitoring and fault diagnosis-part I:components and subsystems[J].IEEE Transactions on Industrial Electronics,2015,62(10):6536-6545.
SHI Xiafei,PAN Hongxia,HE Qiang.Research and application of fault diagnosis system of wind turbine gearbox based on DSP[J].Journal of Mechanical Transmission,2013,37(2):13-16.
王晶晶,吴晓铃.风电齿轮箱的发展及技术分析[J].机械传动,2008,32(6):5-8.
WANG Jingjing,WU Xiaoling.Development and technical analysis of wind turbine gearbox[J].Journal of Mechanical Transmission,2008,32(6):5-8.
SALAMEH J P,CAUET S,ETIEN E,et al.Gearbox condition monitoring in wind turbines:a review[J].Mechanical Systems and Signal Processing,2018,111:251-264.
HE G L,DING K,LI W H,et al.A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique[J].Renewable Energy,2016,87:364-375.
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,2011,47(9):49-52.
YUAN T H,SUN Z F,MA S H.Gearbox fault prediction of wind turbines based on a stacking model and change-point detection[J].Energies,2019,12(22):4224.
TENG W,DING X,CHENG H,et al.Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform[J].Renewable Energy,2019,136:393-402.
INALPOLAT M,KAHRAMAN A.A theoretical and experimental investigation of modulation sidebands of planetary gear sets[J].Journal of Sound and Vibration,2009,323(3):677-696.
WANG Yifan,LI Fangyi,JIA Xiujie,et al.Vibration spectral models for gear fault of planetary gearboxes with floating ring gear[J].Computer Integrated Manufacturing Systems,2017,23(9):1875-1882.
刘浩华.随机风速工况下的风机齿轮箱齿轮故障诊断研究[D].济南:山东大学,2019:12.
LIU Haohua.Research on gear fault diagnosis of wind turbine gearbox under random wind speed[D].Ji'nan:Shandong University,2019:12.
RANDALL R B.A new method of modeling gear faults[J].Journal of Mechanical Design,1982,104(2):259-267.
HONG L,DHUPIA J S,Sheng S.An explanation of frequency features enabling detection of faults in equally spaced planetary gearbox[J].Mechanism and Machine Theory,2014,73:169-183.
FYFE K R,MUNCK E D S.Analysis of computed order tracking[J].Mechanical Systems and Signal Processing,1997,11(2):187-205.
LI Y Z,DING K,HE G L,et al.Non-stationary vibration feature extraction method based on sparse decomposition and order tracking for gearbox fault diagnosis[J].Measurement,2018,124:453-469.
ZHAO Dengli,CHEN Xiaoxu,XU Hao,et al.Fault diagnosis of wind turbine gearbox under nonstationary conditon based on order analysis[J].Journal of Mechanical Transmission,2020,44(12):141-145.
FYFE K R,MUNCK E D S.Analysis of computed order tracking[J].Mechanical Systems and Signal Processing,1997,11(2):187-205.