预测性维护的增强算法,用于检测柴油发动机铁路车辆的轮增压器超速
Gabriel Davidyan1, Renata Klein2, Jacob Bortman2
1PHM Laboratory, Department of Mechanical Engineering, Ben-Gurion University of the Negev, P.O. Box 653, 8410501, Beer-Sheva, Israel. gabrield@rail.co.il.
Scientific reports
|August 19, 2024
概括
预测火车头轮增压器超速对于安全至关重要. 一个新的算法估计了即时角速度 (IAS),以早期检测潜在的故障,提高火车的可靠性.
科学领域:
- 机械工程 机械工程
- 铁路工程 铁路工程是指铁路工程.
- 状态监控 状态监控
背景情况:
- 机车的可靠性和安全性对于高效的火车运行至关重要.
- 在机车车队中,反复发生的轮增压器故障会带来重大安全风险.
- 在故障之前,轮增压器轴的不受控制的加速和超速过渡.
研究的目的:
- 介绍一种改进的新型算法,用于估计轮增压器和柴油发动机的瞬间角转速 (IAS).
- 为了克服柴油发动机短暂运行条件所带来的挑战.
- 通过预测超速情况,能够提前检测潜在的轮增压器故障.
主要方法:
- 开发了一个使用自适应脱相来估计IAS的增强算法.
- 该算法将关键的异步振动组件隔离出来,用于故障检测.
- 它适用于非静止速度和各种旋转速度/变速.
主要成果:
- 该算法有效地估计了在暂时条件下的IAS.
- 它成功地隔离了关键的振动组件,用于早期故障检测.
- 该方法将旋转部件的特征频率与强度相关联.
结论:
- 新的IAS估计算法提高了机车的预测性维护和运行可靠性.
- 它是专门为柴油发动机的运行条件设计的.
- 使用模拟和实验数据的验证证实了算法的有效性和稳定性.
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