Wang, Y., Markert, R., Xiang, J., et al.: Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system. Ma, C.Y., Liu, X., Duan, J.M.: Fault diagnosis method of rolling bearings based on LMD and singular value difference spectrum. Interface 2(5), 443 (2005)ĭragomiretskiy, K., Zosso, D.: Variational mode decomposition. Smith, J.S.: The local mean decomposition and its application to EEG perception data. Yang, Y., Yu, D.J., Cheng, J.S.: Application of Emprical Mode Decomposition (EMD) in roller bearing fault diagnosis.
#Vmd rotate on axis series#
Huang, N.E., Shen, Z., Long, S.R., et al.: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Li, Y., Feng, K., Liang, X., Zuo, M.J.: A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy. Signal Process 40, 76–90 (2013)įeng, Z., Liang, M., Zhang, Y., Hou, S.: Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation. Zhao, M., Lin, J., Wang, X., et al.: A tacho-less order tracking technique for large speed variations. Wang, K.S., Heyns, P.S.: An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics.
(eds) Condition Monitoring of Machinery in Non-Stationary Operations, pp. In: Fakhfakh, T., Bartelmus, W., Chaari, F., Zimroz, R., Haddar, M. Separation of gear and bearing fault signals from a wind turbine transmission under varying speed and load. 19, 766–785 (2005)Ĭombet, F., Gelman, L.: An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor. Ancona (2002)īonnardot, F., Badaoui, M., Randall, R.B., et al.: Use of the acceleration signal of a gearbox to perform angular resampling (with limited speed fluctuation). In: Fifth International Conference on Vibration Measurements by Laser Techniques: International Society for Optics and Photonics, pp. Qin, S., Wei, R., Guo, Y., et al.: The order tracking of rotating machinery based on instantaneous frequency estimation.
24, 30–34 (1990)īossley, K.M., McKendrick, R.J., Harris, C.J., et al.: Hybrid computed order tracking. Potter, R.: New order tracking method for the rotating machine. Ji, X.B., Guo, Y.: Development, application and prospect of order ratio analysis technology. Keywordsįyfe, K.R., Munck, E.D.S.: Analysis of computed order tracking. The results show that this method can effectively identify the fault signal of the gearbox with variable speed, it verified that the method is effective. Simulation and experimental vibration signals are employed to evaluate the effectiveness of the proposed method. Finally, the resampled signal is decomposed by VMD to obtain its fault characteristics. Secondly, the optimal parameter combination of VMD decomposition is calculated for the resampled signal. Firstly, the angular domain resampling of the variable speed signal is carried out by using the improved order analysis method, and the equivalent constant speed signal is obtained. In this paper, an optimal selection method of VMD parameters is proposed. To address these issues, this paper presents a signal processing scheme of the gearbox with variable speed based on adaptive order analysis and an improved VMD algorithm. Most of these methods are developed for processing the vibration signals under stationary conditions, but they may not be suitable for the analysis of the vibration signals under non-stationary conditions. Many researchers have contributed to the dynamic modeling, fault diagnosis, and state monitoring of gearboxes.
Therefore, the fault diagnosis of key components of the gearbox has been an important research topic. The fault may lead to the overall shutdown, resulting in substantial economic losses, and may cause production accidents, and threats to the lives of site staff. However, the gearbox working conditions are complex, their working environment is harsh, the fault is difficult to identify, and the whole machine equipment structure is complex, once a fault is not easy to troubleshoot. Gearboxes are critical components of many engineering systems, they are widely used because of their advantages, such as being small, large transmission ratio, bearing capacity, and long life.
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