轴承动力学建模基于虚拟状态空间和汉默斯坦-维纳模型
Genghong Jiang1, Kai Zhou2, Zhaorong Li2
1Zhejiang Institute of Communications, Hangzhou 311112, China.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
这项研究引入了一种通过分析轴承退化来评估旋转机械健康状况的新方法. 该方法使用虚拟状态和汉默斯坦-维纳建模来预测系统健康的高精度.
科学领域:
- 机械工程 机械工程
- 控制理论 控制理论
- 信号处理 信号处理
背景情况:
- 旋转机械传动系统在工业应用中至关重要.
- 评估这些系统的健康状况,特别是轴承,对于防止故障至关重要.
- 现有的方法可能缺乏准确性,以有效地捕捉动态降解.
研究的目的:
- 开发一种新的方法来评估旋转机械传动系统的健康状况.
- 用多维建模技术分析轴承的动态退化.
- 验证拟议方法的准确性和有效性.
主要方法:
- 通过虚拟状态和虚拟状态空间生成多维数据.
- 从控制理论应用汉默斯坦-维纳 (HW) 建模来识别动态的多维模型.
- 使用四个公认的数据库与振动传感器数据验证模型.
主要成果:
- 在各种条件下实现了多个轴承的99%的建模精度.
- 通过比较分析证明了动态建模方法的有效性.
- 证实了该方法在评估传输系统健康状况方面的能力.
结论:
- 拟议的哈默斯坦-维纳建模方法为评估旋转机械健康提供了一种新且高度准确的方法.
- 该技术为传输系统的状态监测和预测性维护提供了可靠的参考.
- 基于虚拟状态的多维建模有效地捕捉了动态轴承退化.
相关概念视频
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