Acoustic Sensing Based Operational Monitoring of Wind Turbine Blades
Acoustic Sensing Based Operational Monitoring of Wind Turbine Blades
复制标题
基于声学传感的风力涡轮机叶片运行监控
DOI：
10.1088/1742-6596/1452/1/012050
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Inalpolat, Murat and
中科院分区：
文献类型：
--
作者：
Inalpolat, Murat and
本文概述了为风力涡轮机叶片开发的新型结构健康监测技术的不同方面。所提出的技术基于检测由于结构变形和损坏而导致的声学传输损耗的变化。这种基于声学的损伤检测技术由两种互补的方法组成，即主动和被动声学损伤检测方法。所提出的方法可应用于陆上和海上涡轮机，并且需要最少数量的位于叶片结构内部和外部的声学传感器。这两种方法都将从结构健康监测、声学、气动声学以及实际实施的角度进行详细介绍。还讨论了在风力涡轮机叶片上使用所提出的方法和相应技术的潜在好处。
This paper presents a general overview of the different aspects of a novel structural health monitoring technique developed for wind turbine blades. The proposed technique is based upon detecting the changes in acoustic transmission loss due to structural deformation and damage incurred. This acoustics-based damage detection technique consists of two complementary approaches, namely, the active and passive acoustic damage detection approaches. The proposed approaches can be applied to both onshore and offshore turbines and requires minimum number of acoustic sensors positioned internal and external to the blade structure. Both approaches will be detailed from the structural health monitoring, acoustics, aeroacoustics as well as the practical implementation perspective. The potential benefits of using the proposed approaches and the corresponding technology on wind turbine blades is also discussed.
利用摄影测量识别大型风力发电机的动力学
影响因子：
6.3
作者：
Muammer Ozbek;F. Meng;D. Rixen;M. Tooren
通讯作者：
M. Tooren
DOI：
10.1177/1475921719835761
发表时间：
2020-01-01
影响因子：
6.6
作者：
Beale, Christopher;Inalpolat, Murat;Niezrecki, Christopher
通讯作者：
Niezrecki, Christopher