风力轮机中的行星日记轴承的状态监测系统基于表面声波测量-系统级验证
Thomas Matthias Decker1, Georg Jacobs1, Tim Scholz1
1Chair for Wind Power Drives, RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
使用表面声波的新状态监测系统可以在发生损坏之前检测风力轮机变速箱日志轴承的关键状态. 该系统提高了可靠性,并减少了风力轮机昂贵的停机时间.
科学领域:
- 机械工程 机械工程
- 可再生能源系统可再生能源系统
- 状态监控 状态监控
背景情况:
- 行星日记轴承对于风力轮机变速箱的性能至关重要,但容易受到污染或石油饥饿等异常事件造成的损坏.
- 对这些轴承的当前状况监测是有限的,现有的研究缺乏可转移到全尺寸系统的可能性.
- 自发轴承故障导致了大量的轮机停机时间和昂贵的维修.
研究的目的:
- 开发和评估一款用于风力轮机变速箱行星日记轴承的新型状态监测系统.
- 评估系统检测关键操作状态和预测轴承摩擦的能力.
- 为了证明先进的风力轮机可靠性监测的实际可行性.
主要方法:
- 在一台850千瓦的风力轮机变速箱上进行了系统测试,该变速箱配有行星日记轴承.
- 一个基于表面声波测量的新型状态监测系统被集成并测试.
- 开发了一个机器学习算法来分析监控信号并预测轴承摩擦状态.
主要成果:
- 该研究成功地测试了一种新型状态监控系统在一个全尺寸风力轮机变速箱上.
- 表面声波测量提供了关于日志轴承状况的详细见解.
- 机器学习算法有效地评估了监控信号,并预测了轴承摩擦状态.
结论:
- 开发的基于表面声波的监测系统实际上可以用于风力轮机中的行星日记轴承.
- 这种方法提供了一种可靠的方法来检测关键状态,防止损坏,并提高风力轮机变速箱的可靠性.
- 该系统有可能显著降低风能业务的运营成本和停机时间.
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