Dynamic unbalance detection of Cardan shaft in high-speed train applying double decomposition and double reconstruction method

Abstract

The unbalance of Cardan shaft compromises operations of high-speed train. A new method is proposed to detect the unbalance by applying DDDR (double decomposition and double reconstruction method). The vibration acceleration of gearbox was decomposed into eight scale wavelet coefficients through wavelet packet decomposition. The eight single scale vibration signals were reconstructed by the corresponding scale wavelet coefficients. Hankel matrices in different scales were constructed through the reconstructed vibration signals in wavelet domain. SVD (singular value decomposition) of Hankel matrices was executed, and critical singular values were selected based on the maximum change of singular values. Those selected singular values were used to reconstruct the single scale vibration signal. So far, DDDR processing of signal has been completed. Fourier spectrum of signal acquired by DDDR processing was used to detect dynamic unbalance of high-speed train Cardan shaft. The validity of this method is supported by experimental data collected on dynamic unbalance experiments. The results show that this method can effectively extract the vibration characteristics of fundamental, multiplier, and divider frequencies. With comparison to the traditional wavelet decomposition, wavelet singularity value decomposition, the clarity and sensitive force have been significantly improved.