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首页> 外文期刊>Mechanical systems and signal processing >A parameter-adaptive VMD method based on grasshopper optimization algorithm to analyze vibration signals from rotating machinery
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A parameter-adaptive VMD method based on grasshopper optimization algorithm to analyze vibration signals from rotating machinery

机译：基于蚱optimization优化算法的参数自适应VMD方法分析旋转机械振动信号

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摘要

The mode number and mode frequency bandwidth control parameter (or quadratic penalty term) have significant effects on the decomposition results of the variational mode decomposition (VMD) method. In the conventional VMD method, the values of decomposition parameters are given in advance, which makes it difficult to achieve satisfactory analysis results. To address this issue, this paper proposes a parameter-adaptive VMD method based on grasshopper optimization algorithm (GOA) to analyze vibration signals from rotating machinery. In this method, the optimal mode number and mode frequency bandwidth control parameter that match with the analyzed vibration signal can be estimated adaptively. Firstly, a measurement index termed weighted kurtosis index is constructed by using kurtosis index and correlation coefficient. Then, the VMD parameters are optimized by the GOA algorithm using the maximum weighted kurtosis index as optimization objective. Finally, fault features can be extracted by analyzing the sensitive mode with maximum weighted kurtosis index. Two case studies demonstrate that the proposed method is effective to analyze machinery vibration signal for fault diagnosis. Moreover, comparisons with the conventional fixed-parameter VMD method and the well-known fast kurtogram method highlight the advantages of the proposed method.
机译：模式编号和模式频率带宽控制参数（或二次惩罚项）对变分模式分解（VMD）方法的分解结果有重大影响。在常规的VMD方法中，分解参数的值是预先给出的，这使得难以获得令人满意的分析结果。为了解决这个问题，本文提出了一种基于蚱optimization优化算法（GOA）的参数自适应VMD方法来分析旋转机械的振动信号。用这种方法，可以自适应地估计与所分析的振动信号相匹配的最佳模式数和模式频率带宽控制参数。首先，利用峰度指标和相关系数，建立了加权峰度指标的测量指标。然后，使用最大加权峰度指数作为优化目标，通过GOA算法对VMD参数进行优化。最后，可以通过分析具有最大加权峰度指数的敏感模式来提取故障特征。两个案例研究表明，该方法可有效分析机械振动信号以进行故障诊断。此外，与常规固定参数VMD方法和著名的快速峰形图方法的比较突出了该方法的优点。

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