The offshore wind energy is increasingly becoming an attractive source of energy due to having lower environmental impact. Effective operation and maintenance that ensures the maximum availability of the energy generation process using offshore facilities and minimal production cost are two key factors to improve the competitiveness of this energy source over other traditional sources of energy. Condition monitoring systems are widely used for health management of offshore wind farms to have improved operation and maintenance. Reliability of the wind farms are increasingly being evaluated to aid in the maintenance process and thereby to improve the availability of the farms. However, much of the reliability analysis is performed offline based on statistical data. In this article, we propose a drone-assisted monitoring based method for online reliability evaluation of wind turbines. A blade system of a wind turbine is used as an illustrative example to demonstrate the proposed approach.
翻译:由于环境影响较小,离岸风能日益成为具有吸引力的能源来源。有效的操作和维护确保利用离岸设施和最低生产成本最大限度地提供能源生产过程,是提高这种能源相对于其他传统能源的竞争力的两个关键因素。条件监测系统被广泛用于离岸风力农场的健康管理,以改善运行和维护。风力农场的可靠性正在越来越多地受到评价,以协助维护过程,从而改善农场的可用性。然而,许多可靠性分析是根据统计数据进行的。在本篇文章中,我们提议采用无人驾驶飞机协助的监测方法,对风力涡轮机进行在线可靠性评估。风力涡轮机的刀片系统被用作示范性例子,展示拟议办法。