Image analysis for blade defects

风能是一种快速发展的可再生能源技术，在全球和加拿大。风力涡轮机部署的一个潜在弊端将是来自制造、运输和环境退化等诸多方面的叶片缺陷。该提案将使滑铁卢大学的风能集团（WEG）与安大略省戈德里奇的Complete Wind公司（CWC）合作，后者是一家风力涡轮机叶片服务公司，在叶片检测和技术开发方面有着悠久的历史。购买风力涡轮机后，业主/运营商通常会获得2至5年的保修期。在最初的保修期即将结束时，业主/运营商在决定涡轮机在其设计寿命的剩余时间内如何维修和维护之前，对其转子叶片进行保修期结束（EOW）检查至关重要。定期贷款协议中要求进行EOW检查也是很常见的。即使业主/运营商计划继续与原始设备制造商（OEM）服务团队合作，这种检查也很重要。该公司在风力涡轮机叶片检测方面拥有丰富的专业知识，并在世界各地完成了检测。他们已经确定改进叶片检查是市场渗透的关键，并将补充和协助WEG滑铁卢研究团队。滑铁卢WEG开发的创新图像分析技术，结合他们在涡轮机方面的专业知识，将与CWC团队的技术知识和技能相结合，用于该项目，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.