部分重建的综合几何模式分解及其在滚动轴承故障诊断中的应用
Yanfei Liu1, Junsheng Cheng1, Yu Yang1
1State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究引入了一种用于滚动轴承故障诊断的新方法. 部分重建的简易几何模式分解 (PRSGMD) 提高了速度和准确性,提高了诊断的稳定性.
科学领域:
- 机械工程 机械工程
- 信号处理 信号处理
背景情况:
- 从杂的滚动轴承数据中提取故障信息是一项挑战.
- 综合几何模式分解 (SGMD) 是有效的,但计算效率低下,并且可能不准确.
- 现有的方法与噪音和计算负载作斗争.
研究的目的:
- 开发一种增强的滚动轴承故障诊断方法.
- 提高SGMD的计算效率和准确性.
- 为了提高故障检测算法的稳定性.
主要方法:
- 开发了一个规范化的复合多尺度模糊 (RCMFE) 运算符.
- 集成的RCMFE带有部分重建值指示器.
- 拟议的部分重建简单几何模式分解 (PRSGMD).
主要成果:
- 与标准SGMD相比,PRSGMD显著提高了分解效率.
- 这种新方法提高了分解的准确性,并减少了剩余能量.
- 模拟和实验结果验证了PRSGMD的有效性.
结论:
- PRSGMD为滚动轴承故障诊断提供了更强大,更有效的解决方案.
- 该方法解决了传统SGMD在速度和准确性方面的局限性.
- 在杂的环境中,PRSGMD提高了故障特征提取的可靠性.
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