可变过波形变化模式分解及其在滚动轴承故障特征提取中的应用
1Key Subject Laboratory of Nuclear Safety and Simulation Technology, College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China.
Entropy (Basel, Switzerland)
|March 28, 2025
概括
一种新的可变过波形变化模式分解 (VFW-VMD) 方法改善了宽带和声信号的信号分析. 这种先进的技术通过捕获更多的诊断特征来增强滚动轴承故障检测.
科学领域:
- 信号处理 信号处理
- 机械工程 机械工程
- 错误诊断 错误诊断 错误诊断 在
背景情况:
- 变化模式分解 (VMD) 有效地将信号分解为窄带组件.
- 经典VMD对Wiener过器的依赖限制了宽带信号的适应性,导致模式混合和过度平滑等问题.
研究的目的:
- 引入一种新的可变过波形变化模式分解 (VFW-VMD) 方法.
- 解决传统的VMD在处理宽带和声信号方面的局限性.
- 提高轴承故障诊断的准确性和有效性.
主要方法:
- 开发了可变过波形变化模式分解 (VFW-VMD) 算法.
- 集成的分数顺序约束和动态波波形调整.
- 通过与合成和现实世界的信号进行模拟,验证了VFW-VMD框架.
主要成果:
- 与经典的VMD相比,VFW-VMD在提取宽带信号方面表现出更好的适应性.
- 提出的方法有效地缓解了模式混合和过度平滑的问题.
- 观察到滚动轴承故障特征的增强捕获,改善了诊断能力.
结论:
- 在复杂信号的信号分解方面,VFW-VMD提供了显著的进步.
- 该方法为实际的轴承故障诊断应用提供了增强的性能.
- 这项工作有助于改进用于机械健康监测的信号处理技术.
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