Study of transfer path of wind turbine gearbox fault vibration signal based on power flow finite element method

As core components of wind power equipment, wind turbine gearboxes usually work in hostile conditions, which accounts for the increasing failure rate year by year. Therefore, the condition monitoring and fault diagnosis play a vital role in the safe operation of wind power gearboxes. Compared with ordinary gear train, wind power gearboxes have more complex transfer systems. Moreover, the vibration combination generated by multi-gears meshing and time-variant transfer paths of vibration signals increases the difficulty of wind turbine gearboxes fault diagnosis. To accurately detect the faults and analyze the fault signal transfer mechanism of planetary gearboxes, this article proposes a novel method based on power flow finite element to study transfer paths. For localized spalling of planetary gears, this article analyzes six transfer paths’ contributions of the fault signal and carries on the finite element analysis to determine the dominant transfer path. By contrast, the proposed method overcomes the problems of mutual coherence and time variance requested for traditional transfer path analysis methods and reveals the changes of energy and attenuation law. The detection of dominant transfer path will greatly promote the reveal of failure mechanism and fault feature extraction for wind turbine gearboxes, which has significant academic and engineering value.

[1]  Zhao Xiaofei,et al.  Gear crack fault identification for multi-stage gearbox based on signal propagation path , 2016 .

[2]  Yaguo Lei,et al.  Phenomenological models of vibration signals for condition monitoring and fault diagnosis of epicyclic gearboxes , 2016 .

[3]  Wentao Huang,et al.  Resonance-based Sparse Signal Decomposition Based on the Quality Factors Optimization and Its Application of Composite Fault Diagnosis to Planetary Gearbox , 2016 .

[4]  Xiong Xiao-yan Feature Analysis of Vibration Signals Obtained through Two Different Transfer Paths , 2012 .

[5]  Huang Yi-hon Transfer Path Analysis of Meshing Vibration Signal of Planetary Gear Sets , 2015 .

[6]  Ming J. Zuo,et al.  Vibration signal modeling of a planetary gear set for tooth crack detection , 2015 .

[7]  Wei Cheng,et al.  Tikhonov regularization-based operational transfer path analysis , 2016 .

[8]  Martin Lohrmann OPERATIONAL TRANSFER PATH ANALYSIS , 2008 .

[9]  Ming J. Zuo,et al.  Vibration signal models for fault diagnosis of planetary gearboxes , 2012 .

[10]  Wei Xu,et al.  Study of the Vibration Transmission and Path Recognition of an Underground Powerhouse Using Energy Finite Element Method , 2016 .

[11]  S.-K. Lee,et al.  Strategy for vibration reduction of a centrifugal turbo blower in a fuel cell electric vehicle based on vibrational power flow analysis , 2010 .

[12]  Qingchun Hu Power Flow and Efficiency Analysis of Compound Planetary Gears Transmission with Bevel Gears , 2015 .

[13]  Lei Yagu,et al.  Vibration Signal Simulation and Fault Diagnosis of Planetary Gearboxes Based on Transmission Mechanism Analysis , 2014 .

[14]  Hongcai Zhang,et al.  Power flow and efficiency analysis of multi-flow planetary gear trains , 2015 .

[15]  Quentin Leclere,et al.  On the use of artificial excitation in operational transfer path analysis , 2013 .