Research on gear fault diagnosis method based on SSA–VME–MOMEDA

IF 0.8 4区工程技术 Q4 ENGINEERING, MECHANICAL

Transactions of The Canadian Society for Mechanical Engineering Pub Date : 2023-02-14 DOI:10.1139/tcsme-2022-0093

Yangshou Xiong, Zhixian Yan, K. Huang, Huan Chen

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引用次数: 0

Abstract

As a common mechanical part, gear is easy to be damaged because of its complex working environment, which can impact the running of the whole transmission device. Thus, it is very important to evaluate the health of gears in time. A gear fault diagnosis method based on multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) and variational modal extraction (VME) is proposed to solve the problem that the periodic fault features of gears are difficult to be completely extracted from signals. Meanwhile, sparrow search algorithm (SSA) is introduced to optimize the initial parameters of VME and MOMEDA. First, SSA serves to hunt for the best α of VME, VME serves to obtain the signal near the gear fault frequency, and then SSA serves to hunt for the best L and T values of MOMEDA, and MOMEDA serves to strengthen the gear impact features. Finally, the gear impact features are extracted by envelope spectrum. Simulation and experiment show that this method can extract gear fault components from noise effectively with good results.

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基于SSA-VME-MOMEDA的齿轮故障诊断方法研究

齿轮作为常见的机械部件，由于其工作环境复杂，容易损坏，影响整个传动装置的运行。因此，及时评估齿轮的健康状况是非常重要的。针对齿轮周期性故障特征难以完全从信号中提取的问题，提出了一种基于多点最优最小熵反褶积调整(MOMEDA)和变分模态提取(VME)的齿轮故障诊断方法。同时，引入麻雀搜索算法(SSA)对VME和MOMEDA的初始参数进行优化。首先，SSA用于寻找VME的最佳α值，VME用于获取齿轮故障频率附近的信号，然后SSA用于寻找MOMEDA的最佳L和T值，MOMEDA用于增强齿轮的冲击特征。最后，利用包络谱提取齿轮冲击特征。仿真和实验表明，该方法能有效地从噪声中提取齿轮故障分量，效果良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transactions of The Canadian Society for Mechanical Engineering 工程技术-工程：机械

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

5 months

期刊介绍： Published since 1972, Transactions of the Canadian Society for Mechanical Engineering is a quarterly journal that publishes comprehensive research articles and notes in the broad field of mechanical engineering. New advances in energy systems, biomechanics, engineering analysis and design, environmental engineering, materials technology, advanced manufacturing, mechatronics, MEMS, nanotechnology, thermo-fluids engineering, and transportation systems are featured.