基于形态分量分析与能量算子解调的齿轮箱复合故障诊断方法

摘要/Abstract

摘要：

针对齿轮箱复合故障的故障特征分离，提出了一种基于形态分量分析与能量算子解调的齿轮箱复合故障诊断方法。该方法先根据振动信号中各组成成分形态的差异，采用形态分量分析方法构建不同形态的稀疏表示字典进行故障成分分离，将齿轮箱复合故障信号分解为包含齿轮故障信息的谐振分量、包含轴承故障信息的冲击分量和噪声分量，然后分别对谐振分量和冲击分量进行能量算子解调分析，最后根据各解调谱诊断齿轮和轴承故障。算法仿真和应用实例表明该方法能有效地分离齿轮箱复合故障振动信号中齿轮与轴承的故障特征。

关键词: 形态分量分析, 能量算子解调, 齿轮箱, 复合故障诊断

Abstract:

Aiming at the problem of separating fault characteristics from vibration signals of a gearbox with compound faults, a compound fault diagnosis method for gearbox was proposed based on MCA and energy operator demodulating. According to the morphological difference of each component, different sparse dictionaries were built by MCA to separate each component from the vibration signals of a gearbox. By using MCA, the vibration signals of a gearbox with compound fault can be decomposed into harmonic component containing fault information of the gear, impulse component containing fault information of the bearing and random noise component. The harmonic component and the impulse component were analyzed respectively by the energy operator demodulating, and the compound fault diagnosis was carried out according to the demodulation spectrum. The simulation and application examples show that the proposed method can separate the fault characteristics from the vibration signals of a gearbox with compound faults effectively.

Key words: morphological component analysis(MCA);energy operator demodulating, gearbox;compound fault diagnosis

中图分类号:

李蓉, 于德介, 陈向民. 基于形态分量分析与能量算子解调的齿轮箱复合故障诊断方法[J]. 中国机械工程, 2013, 24(13): 1789-1795.

LI Rong, XU De-Ge, CHEN Xiang-Min. A Compound Fault Diagnosis Method for Gearbox Based on Morphological Component Analysis and Energy Operator Demodulating[J]. China Mechanical Engineering, 2013, 24(13): 1789-1795.

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http://www.cmemo.org.cn/CN/Y2013/V24/I13/1789

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