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Health assessment and management of wind turbine blade based on the fatigue test data

机译：基于疲劳测试数据的风机叶片健康评估与管理

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With the quality problem becoming increasingly prominent, it is necessary to assess and manage the health condition of the wind turbine blade. The health degree is defined and calculated by the Grey Relation (GR) model to assess the health condition of the wind turbine blade quantitatively. The availability, reliability and artificial test result are taken as three indexes of the health degree. The availability is defined according to the stiffness degradation affected by the environmental temperature. Based on the health assessment results, after determining the decision objectives and the management strategies, the weights of the decision objectives and the health management decision are determined by the Analytic Hierarchy Process and Fuzzy (AHP-Fuzzy) decision method. This process is shown in a practical example of the 3 MW wind turbine blade. As a result, an approach and a certain theoretical guidance for the health assessment and management of wind turbine blade are proposed. (C) 2017 Elsevier Ltd. All rights reserved.
机译：随着质量问题变得越来越突出，有必要评估和管理风力涡轮机叶片的健康状况。健康程度由灰色关联（GR）模型定义和计算，以定量评估风力涡轮机叶片的健康状况。可用性，可靠性和人工测试结果被视为健康程度的三个指标。可用性是根据受环境温度影响的刚度下降来定义的。根据健康评估结果，在确定决策目标和管理策略之后，通过层次分析法和模糊（AHP-Fuzzy）决策方法确定决策目标和健康管理决策的权重。在3兆瓦风力涡轮机叶片的实际示例中显示了此过程。因此，提出了一种用于风力发电机叶片健康评估和管理的方法和一定的理论指导。 （C）2017 Elsevier Ltd.保留所有权利。

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