Utilization of aerial infrared imaging for monitoring wind turbine blade health

利用航空红外成像监测风力涡轮机叶片的健康状况

• 批准号: 516280-2017
• 负责人: Yarusevych, Serhiy
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640017
• 关键词: Utilization; aerial; infrared; imaging; monitoring

Wind turbine blades operate at high relative velocities and are exposed to unsteady wind loading and harshenvironmental conditions, including rain, hail, lightning, etc. As a consequence, blades are damaged frequentlyand the associated repairs amount for the second largest downtime in turbine maintenance. Thus, routineinspections are required to identify blade damage in a timely fashion, so that required repairs can be performedin time to prevent further damage and/or catastrophic failure. Such inspections are commonly performed byspecialized technical staff, adding significant cost to operation and maintenance of wind farms. This proposalwill enable the use of a portable instrument platform involving high definition imaging in visible and infraredranges to assess blades health on an operating turbine, minimizing the required time and avoiding anydowntime for inspections. The work will involve controlled experiments in a wind tunnel facilities as well asanalysis of field data to help develop effective algorithms for robust blade damage detection.

风力涡轮机叶片以较高的相对速度运行，并暴露在不稳定的风荷载和恶劣的环境条件下，包括雨水、冰雹、雷电等。因此，叶片频繁损坏，相关的维修量成为涡轮机维护中第二大停机时间。因此，需要进行例行检查以及时识别叶片损坏，以便及时进行所需的维修以防止进一步损坏和/或灾难性故障。此类检查通常由专业技术人员执行，极大地增加了风电场的运营和维护成本。该提案将允许使用涉及可见光和红外范围内高清成像的便携式仪器平台来评估正在运行的涡轮机的叶片健康状况，从而最大限度地减少所需时间并避免任何停机检查。这项工作将涉及风洞设施中的受控实验以及现场数据分析，以帮助开发有效的算法来进行稳健的叶片损坏检测。