断层(地质)
涡轮叶片
超声波传感器
涡轮机
信号(编程语言)
风力发电
小波
能量(信号处理)
污垢
声学
湍流
海洋工程
结构工程
工程类
地质学
计算机科学
航空航天工程
机械工程
气象学
地震学
人工智能
数学
物理
电气工程
统计
程序设计语言
作者
Fausto Pedro Garcı́a Márquez,Carlos Quiterio Gómez Muñoz
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2020-03-05
卷期号:13 (5): 1192-1192
被引量:56
摘要
Wind turbine blades are constantly submitted to different types of particles such as dirt, ice, etc., as well as all the different environmental parameters that affect the behaviour and efficiency of the energy generation system. These parameters can cause faults to the wind turbine blades, modifying their behaviour due, for example, to the turbulence. A new method is presented in this paper based on cross-correlations to determine the presence of delamination in the blades. The experiments were conducted in two real wind turbine blades to analyse the fault and non-fault blades using ultrasonic guided waves. Finally, the energy analysis of the signal based on wavelet transforms allowed to determine energies abrupt changes in the correlation of the signals and to locate the faults.
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