Image analysis for blade defects

风能是一项在全球和加拿大范围内迅速发展的可再生能源技术。风力涡轮机部署的潜在影响之一将是许多来源的叶片缺陷，包括制造、运输和环境退化。根据这项提案，滑铁卢大学(滑铁卢)的风能集团(WEG)将与安大略省戈德里奇的Complete Wind Corporation(CWC)合作，后者是一家在叶片检测和技术开发方面有着长期记录的风力涡轮机叶片服务公司。购买风力涡轮机后，业主/操作员通常会获得有效期为2至5年的保修。接近初始保修期结束时，在决定如何在剩余的设计寿命内维修和维护涡轮机之前，所有者/操作员必须对其转子叶片进行保修终止(EOW)检查，这一点至关重要。定期贷款协议中要求进行EOW检查也是很常见的。即使业主/操作员计划继续使用原始设备制造商(OEM)服务团队，此检查也很重要。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工作。他们已经确定改进的刀片检查是市场渗透的关键，并将补充和协助滑铁卢的WEG研究团队。滑铁卢的WEG开发的创新图像分析技术与他们的涡轮机专业知识相结合，将在该项目中与CWC团队的技术诀窍和技能组合一起使用，以制定叶片图像分析战略。

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.