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基于MPE-VMD算法对剪刀机采集负载信号的研究

Xin Wang¹, Rennan Wu², Yangxi Bai¹

¹School of Mechanical Engineering, Liaoning Technical University, Fuxin, 123000, China.

Scientific reports

|July 2, 2025

概括

一个新的MPE-VMD算法有效地拒绝剪刀负载信号,优于VMD,WT和EMD方法. 这增强了采矿操作的关键特征提取.

科学领域:

采矿工程采矿工程采矿工程
信号处理信号处理
机械工程机械工程

背景情况:

剪刀机挑选负载信号中的噪音复杂化了关键特征的提取.
准确的信号分析对于优化采矿操作和设备健康至关重要.

研究的目的:

提出和评估一项用于剪刀机挑选负载信号的新型无声化算法.
为了提高从噪声负载数据中提取关键特征的准确性.

主要方法:

开发了一种基于MPE-VMD (变量模式分解) 的新除算法.
使用MPE-VMD,VMD,WT (波形转换) 和EMD (经验模式分解) 进行了测试信号 (块,,多普勒) 的否定.
绩效的比较是基于denoising的有效性.

主要成果:

与VMD,WT和EMD相比,MPE-VMD算法表现出优越的无色化性能.
WT和VMD显示了适度的无线化能力,而EMD表现最差.
当被应用到实际获得的负载信号时,拟议的方法取得了良好的结果.

结论:

MPE-VMD是一种有效和稳固的方法,用于消除剪刀机挑选负载信号.
增强的信号质量有助于更好地分析和提取关键特征.
这一进步可以提高采矿应用的效率和安全性.

关键词:

采购测试是一种采购测试.拒绝算法 (Denoising) 的算法评价指数的评价指数提取负载载荷的选择

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