Feature extracting method for gearbox tooth breakage under impact based on theS-transform time-frequency spectrum combined with the denoising by SVD

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (18) : 256-263.

PAN Gaoyuan 1，LI Shunming 1，DU Huarong1，ZHU Yanqi1

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Abstract

In order to identify the characteristic signal of a broken tooth failure in gearbox from the gearbox vibration signal accurately, a method combining the S-transform time-frequency spectrum with the singular value decomposition (SVD) denoising was proposed.By comparing and analyzing the difference between the singular value ratio spectrum and the singular value difference spectrum, a noise reduction method using the S-transform singular value ratio spectrum threshold was put forward.Firstly, the time-frequency matrix obtained by the S-transform of the signal was used as the SVD construction matrix.Then, a threshold was chosen to denoise the signal by analyzing the singular value ratio spectrum.Lastly, the inverse S-transform was performed on the denoised data matrix to obtain the time-domain impact characteristics.In the light of the S-transform time-frequency diagram, the impact characteristic frequency was identified.The effectiveness verification of the proposed method was carried out by comparing the simulation and experiment signal data.The results show that the method can identify the periodic impact characteristics of the simulation signals accurately and effectively, and can well identify the broken tooth vibration characteristics of the planetary gearbox.

Key words

gearbox / S-transform / singular value decomposition / broken tooth / singular value ratio spectrum

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PAN Gaoyuan 1，LI Shunming 1，DU Huarong1，ZHU Yanqi1. Feature extracting method for gearbox tooth breakage under impact based on theS-transform time-frequency spectrum combined with the denoising by SVD[J]. Journal of Vibration and Shock, 2019, 38(18): 256-263

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