• CN：11-2187/TH
• ISSN：0577-6686

›› 2011, Vol. 47 ›› Issue (13): 92-97.

• 论文 •

### 基于多尺度线调频基稀疏信号分解的齿轮故障信号阶比分析

1. 湖南大学汽车车身先进设计制造国家重点实验室
• 发布日期:2011-07-05

### Order Analysis of Gear Fault Signals Based on Multi-scale Chirplet and Sparse Signal Decomposition

REN Lingzhi;YU Dejie;PENG Fuqiang;PI Wei

1. State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University
• Published:2011-07-05

Abstract: Aiming at the problem that the modulation sidebands of vibration signals of a gearbox with variable rotating speed are difficult to identify, an order analysis method based on multi-scale chirplet and sparse signal decomposition is proposed. In the proposed method, a vibration signal of gearbox is decomposed to obtain the meshing component and the modulation sidebands by using the sparse signal decomposition based on multi-scale chirplet and simultaneously, their instantaneous frequencies are obtained. Then the rotating speed signal can be obtained by software method without the tachometer. Based on the obtained rotating speed, the uniform angle resampling on the sum of the meshing component and the modulation sideband components are carried out, so the order spectrum of the resampled signals can be obtained and used in the fault diagnosis of the gearbox. Simulation and practical application examples show that the proposed method has a strong noise immunity and is better than the traditional order method in identifying the modulation sidebands.