低容量的风力轮机叶片振动测量自主传感器系统
Diego Muxica1, Sebastian Rivera2,3, Marcos E Orchard4
1Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Santiago 7620001, Chile.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
这项研究开发了一种自主上的叶片传感器系统,用于风力轮机的远程振动测量. 该系统可靠地收集数据用于结构健康监测,即使在恶劣的条件下.
科学领域:
- 工程 工程师 工程师 工程师
- 机械工程 机械工程
- 可再生能源系统可再生能源系统
背景情况:
- 风力轮机叶片是易受损坏的关键部件.
- 有效的结构健康监测 (SHM) 对于可靠的风能发电至关重要.
- 为了可访问性和成本效益,需要远程和自主监控解决方案.
研究的目的:
- 设计,实施和验证用于远程振动测量的叶片上传感器系统.
- 评估系统在恶劣天气条件和偏远地区的可靠性.
- 为风力轮机叶片的损坏诊断和预后提供数据.
主要方法:
- 开发了一种用于振动测量的自主在刀片上的传感器系统.
- 在三个低容量的风力轮机上部署该系统,其中一个在偏远的智利.
- 在横向和边向方向记录叶片加速数据.
主要成果:
- 从远程风力轮机进行可靠的数据采集和传输.
- 验证了系统在没有人类干预的情况下自主长期记录数据的能力.
- 收集的振动数据适用于提取动态特征并使损坏诊断成为可能.
结论:
- 开发的叶片上传感器系统有效用于自主,远程控制风力轮机的振动监控.
- 该系统为实时基于振动的结构健康监测策略提供了基础.
- 这项技术增强了长期监测和评估风力轮机叶片健康状况的能力.
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