球轴承故障分析的简化方法,结合主要组件分析和快速里埃转换
Emmanuel Ndongue Esseme1, Thomas Florent Kanaa1,2,3, Thérèse Jacquie Ngo Bissé2,4
1Laboratory of Mechanics, Department of Mechanical Engineering, Higher Technical Teacher's Training College, University of Douala, Douala, Cameroon.
PloS one
|November 13, 2025
概括
这项研究引入了一种新的方法,用于检测采用主要组件分析 (PCA) 和快速里埃转换 (FFT) 的球轴承故障. PCA-FFT与Hotelling指数和SPE的组合有效地识别了滚动轴承的缺陷.
科学领域:
- 机械工程 机械工程
- 信号处理 信号处理
- 状态监控 状态监控
背景情况:
- 球轴承的早期故障检测对于预测性维护至关重要.
- 传统的时间频率技术与非静止或噪声信号作斗争.
- 需要先进的方法来可靠地监控复杂的系统.
研究的目的:
- 提出一个可靠的方法来检测滚动轴承的故障.
- 提高复杂机械的预测性维护的有效性.
- 为早期故障检测确定可靠的指标.
主要方法:
- 使用主要组件分析 (PCA) 来识别易发生故障的指标.
- 使用快速里埃转换 (FFT) 分解信号特征.
- 应用Hotelling指数和SPE (二次预测误差) 来确定健康状况.
主要成果:
- 该PCA-FFT方法,结合Hotelling指数和SPE,有效地检测出错的信号.
- 提取的频率和和声器准确地描述了轴承的缺陷.
- 展示了快速检测范围和故障信号的分散.
结论:
- 拟议的PCA-FFT方法为滚动轴承故障检测提供了一种优越的方法.
- 与KPCA-FFT相比,这种方法更适合评估有缺陷的信号.
- 提高旋转机械预测性维护的可靠性.
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