Detection of the dynamic imbalance with cardan shaft applying the improving DTCWT-SVD

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (22) : 142-151.

HE Liu 1 LIN Jianhui 1 LIU Xingchang 1 Huang yan 1

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Abstract

A new improving algorithm of the dual tree complex wavelet transform (DTCWT) is proposed aiming at the leakage frequency and aliasing defect existing in classical wavelet transform and DTCWT. The improving algorithm solves the problem of negative frequencies existing in classic wavelet and the problem of the frequency of filter being incomplete cutoff in classic wavelet transform and DTCWT. The improving DTCWT and singular value decomposition (SVD) was introduced into the dynamic imbalance detection of cardan shaft. The vibration signals of gimbal installed base were decomposed through the improving DTCWT to get the different scale decomposition signal. The signal of low-frequency approximation was decomposed by the singular value decomposition, the key singular value were selected to reconstruct to vibration signal based on the key stack of singular value. Fourier spectrum of the reconstructed signal was applied to detect dynamic imbalance with shaft and eliminated unbalanced fault submerged defects, highlighted the failure characteristics. The method was verified by test data in the condition of dynamic imbalance, the results showed the method of improving DTCWT-SVD can effectively detect the fundamental frequency and frequency multiplication caused by cardan shaft dynamic imbalance. With the comparisons among the classical wavelet transform, the DTCWT and the simple improving DTCWT, the clarity and failure characterization force have been significantly improved by using improving DTCWT-SVD.

Key words

dynamic imbalance with cardan shaft / Improving DTCWT / SVD / dynamic detection

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HE Liu 1 LIN Jianhui 1 LIU Xingchang 1 Huang yan 1. Detection of the dynamic imbalance with cardan shaft applying the improving DTCWT-SVD[J]. Journal of Vibration and Shock, 2016, 35(22): 142-151

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