对行星变速箱故障诊断的光谱相关解调分析
Xiaohui Duan1, Rongzhou Lin1, Zhipeng Feng1
1School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
本研究引入了使用光谱相关 (SC) 和振幅调制/频率调制 (AM-FM) 模型的行星变速箱的新故障诊断方法. 该方法成功地识别了局部轮故障,改善了旋转机械的诊断.
科学领域:
- 机械工程 机械工程
- 振动分析 振动分析
- 信号处理 信号处理
背景情况:
- 行星变速箱的振动显示复杂的振幅调制 (AM) 和频率调制 (FM).
- 现有的光谱相关 (SC) 方法通常将变速箱信号模型为冲动响应,而不是AM-FM信号.
- 精确的建模对于旋转机械的有效故障诊断至关重要.
研究的目的:
- 开发一种基于AM-FM信号模型的基于SC的行星变速箱的新型故障诊断方法.
- 在故障条件下理论推导和实验验证AM-FM信号的SC特征.
- 为了提高对行星轮局部故障的诊断能力.
主要方法:
- 导出AM-FM信号的光谱相关性 (SC) 特征的理论表达式.
- 对具有局部故障的行星变速箱振动信号进行封闭形式的理论SC分析的开发.
- 使用行星变速箱的振动数据对理论推导的实验验证.
主要成果:
- 该研究表明,AM-FM信号的SC解调特征表现为离散的,分组的点,而不是连续的线条.
- 对局部轮故障的理论SC特征得出,为诊断提供指导.
- 实验验证证证实了环,太阳和行星轮局部故障的成功诊断.
结论:
- 基于AM-FM模型提出的SC方法有效地揭示了行星变速箱振动的周期静止性.
- 这种方法为诊断行星变速箱局部故障提供了强大的理论和实验框架.
- 这些发现推动了关键旋转机械的状态监测和故障诊断领域的发展.
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