对滚动轴承的数字双胞胎建模和故障诊断方法的研究
Jiayi Fan1, Lijuan Zhao2,3, Minghao Li4
1School of Mechatronics Engineering, Shenyang Aerospace University, Shenyang 110136, China.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本研究引入了一个数字双胞胎模型,以提高滚动轴承的操作稳定性和故障诊断的准确性. 该模型模拟轴承退化,生成数据以改进智能维护策略.
科学领域:
- 机械工程 机械工程
- 可靠性工程可靠性工程
- 数据科学数据科学数据科学
背景情况:
- 滚动轴承是机器中的关键部件,它们的运行稳定性至关重要.
- 传统的故障诊断方法在有限的数据上扎,特别是早期退化.
- 数字双胞胎技术为模拟复杂系统及其生命周期提供了潜在的解决方案.
研究的目的:
- 为滚动轴承的整个生命周期开发一个全面的数字双胞胎模型.
- 为了提高滚动轴承的操作稳定性和故障诊断准确性.
- 解决传统轴承维护和诊断中的数据稀缺问题.
主要方法:
- 用Modelica语言构建了一个用于滚动轴承的数字双胞胎模型.
- 该模型集成了多态轴承双子和驱动/负载端组件.
- 混合噪声组件模拟了真实运行状态和高保真度降解.
主要成果:
- 数字双胞胎模型的参数使用实验生命周期数据进行了更新.
- 降解元件为滚动轴承生成了高准确度的双重数据.
- 将双胞胎数据与实际测量数据相结合,增强了诊断能力.
结论:
- 拟议的数字双胞胎建模方法提高了滚动轴承的操作稳定性和故障诊断的准确性.
- 这种方法通过克服数据限制,为智能维护提供可靠的技术支持.
- 数字双胞胎有效模拟轴承退化,使主动维护策略成为可能.
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