Image analysis for blade defects

风能是一种在全球和加拿大迅速发展的可再生能源技术。风力涡轮机部署的潜在缺陷之一将是来自许多来源的叶片缺陷，包括制造，运输和环境退化。该提案将看到滑铁卢大学（滑铁卢）的风能集团（WEG）与安大略省Goderich的Complete Wind Corporation（CWC）合作，后者是一家拥有长期叶片检查和技术开发记录的风力涡轮机叶片服务公司。在购买风力涡轮机的情况下，所有者/运营商通常获得有效期为2至5年的保修。在初始保修期即将结束时，业主/运营商在决定涡轮机在剩余设计寿命内的维修和维护方式之前，必须对其转子叶片进行保修期结束（EOW）检查。定期贷款协议中要求进行EOW检查也很常见。即使业主/操作员计划继续与原始设备制造商（OEM）服务团队合作，该检查也很重要。该公司在风力涡轮机叶片检测方面拥有丰富的专业知识，并已在世界各地完成了检测。他们已经确定改进叶片检测是市场渗透的关键，并将补充和协助滑铁卢的WEG研究团队。由滑铁卢WEG开发的创新图像分析技术与其涡轮机专业知识相结合，将在本项目中与CWC团队的技术知识和技能组合一起使用，以制定叶片图像分析策略。

Wind Energy is a rapidly progressing renewable energy technology worldwide and within Canada. One of the potential detractions from the deployment of wind turbines will be blade defects from many sources including manufacture, transportation and environmental degradation. This proposal will see the Wind Energy Group (WEG) at the University of Waterloo (Waterloo) partner with Complete Wind Corporation (CWC) of Goderich, ON, a wind turbine blade service company with a long record of blade inspection and technology development. With the purchase of a wind turbine, the owner/operator typically receives a warranty valid for a 2 to 5 year period. Nearing the end of this initial warranty period, it is critical that the owner/operator perform an End of Warranty (EOW) inspection on their rotor blades before deciding on how the turbines are to be serviced and maintained for the remainder of their design life. It is also common that the EOW inspection is called for in term loan agreements. This inspection is important even if the owner/operator plans to continue with the Original Equipment Manufacturer (OEM) service team. The company has significant know-how regarding wind turbine blade inspection and has completed inspections around the world. They have identified improved blade inspections as key to market penetration and will complement and assist the WEG research team at Waterloo. Innovative image analysis techniques developed by the WEG at Waterloo combined with their turbine expertise will be utilized in this project in conjunction with the technical know-how and skill set of the CWC team to produce a blade image analysis strategy.