基于数字双胞胎和WHO-WPHM的高速列车变速箱的可靠性评估
Tengfei Wang1, Yun Chen1, Siying Li1
1School of Civil Engineering and Transportation, Beihua University, Jilin 132013, China.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
本研究引入了一种数字双胞胎方法,以提高高速列车变速箱的可靠性. 集成野生马优化器和韦布尔比例危险模型提供了准确的操作安全评估.
科学领域:
- 机械工程 机械工程
- 可靠性工程可靠性工程
- 计算科学 计算科学
背景情况:
- 变速箱的可靠性对于高速列车的安全性和运营连续性至关重要.
- 准确的监测数据和可靠的评估方法对于评估变速箱性能至关重要.
- 现有的方法可能缺乏实时操作监控所需的精度和速度.
研究的目的:
- 开发和验证一种新的数字双胞胎 (DT) 框架,用于评估高速列车变速箱的可靠性.
- 将先进的优化算法与可靠性模型集成在一起,以增强预测能力.
- 提高变速箱状况监测和安全评估的准确性和效率.
主要方法:
- 使用Ansys Twin Builder建立了高速列车变速箱的数字双胞胎框架.
- 部署虚拟传感器,从关键轮对组件中收集振动加速数据.
- 整合了野生马优化器 (WHO) 与韦布尔比例危险模型 (WPHM) 进行参数估计和优化.
- 利用局部触点空间对齐 (LTSA) 来减少WPHM输入共变量的维度.
主要成果:
- 实现了2.35 × 10^4的模拟加速系数,显著超过传统方法.
- 优化算法的代数减少了62.9% (vs. 鱼优化算法) 和48.1% (vs. 哈里斯霍克斯优化).
- 网络部署的DT模型在13秒内交付,显示了高效率.
- 可靠性评估结果显示,与轮对实际运行里程有很强的一致性.
结论:
- 拟议的数字双胞胎框架,结合WHO和WPHM,提供了一种有效和可行的方法来评估高速列车变速箱的可靠性.
- 这种方法增强了预测性维护能力,有助于提高运营安全和效率.
- 这项研究证实了先进的计算方法在解决铁路行业复杂的工程挑战方面的潜力.
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