Application of Envelope Order Spectrum Based on Multi-scale Chirplet and Sparse Signal Decomposition to Gearbox Fault Diagnosis

China Mechanical Engineering ›› 2011, Vol. 22 ›› Issue (1): 69-74.

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Application of Envelope Order Spectrum Based on Multi-scale Chirplet and Sparse Signal Decomposition to Gearbox Fault Diagnosis

Pi Wei;Yu Dejie;Peng Fuqiang;Luo Jiesi

State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, 410082

Online:2011-01-10 Published:2011-01-17

基于多尺度线调频基稀疏信号分解的包络阶次谱在齿轮故障诊断中的应用

皮维;于德介;彭富强;罗洁思

湖南大学汽车车身先进设计制造国家重点实验室，长沙，410082

基金资助:
国家自然科学基金资助项目(50875078)；国家高技术研究发展计划(863计划)资助项目(2009AA04Z414)；湖南省工业科技支撑计划资助项目(2009GK2021)；高等学校博士学科点专项科研基金资助项目(20090161110006)
National Natural Science Foundation of China（No. 50875078）;
National High-tech R&D Program of China (863 Program) （No. 2009AA04Z414）;

Hunan Provincial Key Technology R&D Program（No. 2009GK2021）;
Specialized Research Fund for the Doctoral Program of Higher Education of China（No. 20090161110006）

Abstract

Abstract:

An envelope order spectrum based on multi-scale chirplet and sparse signal decomposition was proposed and applied to the fault diagnosis of gearboxes with rotating speed fluctuation. In the proposed method, the instantaneous frequency of gearbox meshing component was obtained by sparse signal decomposition based on multi-scale chirplet, and then the rotating speed signal can be got by software method without tachometer. After the vibration signals of a gearbox were analyzed by envelopment analysis, the even angle resampling on the envelope signals of the gearbox was carried out and the envelope order spectrum can be obtained, which can be used in the fault diagnosis of the gearbox. A simulation example and an example of its application have proved the effectiveness of the method.

Key words:

sparse signal decomposition, envelope order spectrum, gear; fault diagnosis

摘要：

提出了基于线调频基稀疏信号分解的包络阶次谱方法，并将其应用于变速齿轮箱故障诊断之中。采用基于多尺度线调频基的稀疏信号分解得到齿轮箱啮合分量的瞬时频率，由此得到转速信号，并据此对齿轮振动加速度信号的包络信号进行等角度重采样，然后对重采样信号进行频谱分析，得到包络阶次谱，从而进行齿轮故障诊断。该方法无须使用转速计拾取转速信号，用软件方法实现了包络阶次分析，仿真算例与应用实例说明了该方法的有效性。

关键词:

稀疏信号分解, 包络阶次谱, 齿轮, 故障诊断

CLC Number:

PI Wei, XU De-Ge, BANG Fu-Jiang, LUO Ji-Sai.

Application of Envelope Order Spectrum Based on Multi-scale Chirplet and Sparse Signal Decomposition to Gearbox Fault Diagnosis

[J]. China Mechanical Engineering, 2011, 22(1): 69-74.

皮维, 于德介, 彭富强, 罗洁思.

基于多尺度线调频基稀疏信号分解的包络阶次谱在齿轮故障诊断中的应用

[J]. 中国机械工程, 2011, 22(1): 69-74.

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Application of Envelope Order Spectrum Based on Multi-scale Chirplet and Sparse Signal Decomposition to Gearbox Fault Diagnosis

基于多尺度线调频基稀疏信号分解的包络阶次谱在齿轮故障诊断中的应用

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