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离心传动器的故障特征提取通过EMD和循环双光谱切片

Xiaopei Liang¹, Hanxin Chen¹, Lei Wang¹

¹School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan, 430074, China.

Scientific reports

|December 26, 2025

概括

这项研究引入了一种分析离心驱动器故障振动的新方法. 它增强了故障特征提取,提高了早期故障检测的诊断准确性.

科学领域:

机械工程机械工程
信号处理信号处理
振动分析振动分析

背景情况:

离心推进器故障会产生复杂的振动信号,这些信号是非线性,非高斯式和非稳定状态的.
这些信号特征使得准确的故障特征提取具有挑战性.

研究的目的:

开发一种新的特征提取方法,用于离心驱动器故障振动信号.
为了提高离心故障诊断的准确性和稳定性.

主要方法:

利用经验模式分解 (EMD) 进行多尺度信号分解和内在模式函数 (IMF) 分离.
应用循环双光谱二次切片,用于噪音高的IMF的高阶统计净化.
优化切片参数以隔离故障特征调制频率.

主要成果:

提出的方法有效地提高了振动信号中调制元件的可分离性和抗噪声强度.
分类模型 (SVM,XGBoost,1D-CNN) 实现了高测试准确度,分别为85.7%,92.1%和95.7%.
在故障诊断方面显著优于传统的单一特征方法.

结论:

这种新的特征提取技术为诊断离心推进器故障提供了一个强大的方法.
该方法在增强故障特征和提高诊断准确性方面表现出卓越的性能.

关键词:

离心的中心离心.循环双光谱二次切片是指循环双光谱二次切片.经验模式分解分解错误诊断是一个错误的诊断.

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