Ensuring effective monitoring of WTBs is vital to maintaining safe operation and mitigating failure risks. This study presents a structural health monitoring (SHM) system for WTBs
This study explores the use of noise emitted during wind turbine operation for the assessment of blade structural integrity.
This study adopts a wind turbine blade damage recognition method that combines deep learning, compressed sensing, and sparse representation to enhance the accuracy and real-time
To automate UT in the wind turbine industry, an image detection model based on deep learning called UCD-YOLO (Ultrasonic C-scan image Detection You Only Look Once) is proposed to
This paper illustrates how advanced ultrasonic phased array technology contributes to the improved integrity of composite wind turbine blades during manufacturing.
In view of the above problems, this paper studies the non-destructive testing technology based on ultrasonic phased array to detect the blade defects of wind turbine, and analyzes the...
Materials used to construct wind blades, such as fiberglass and carbon reinforced plastics (CRP), pose particular challenges to ultrasonic inspection, and the industry has been searching for a simple and
Based on an intermediate value between the maximum and minimum values, the calculation of the phase velocity threshold is used for defect detection, location and sizing. The operation of the
This work proposes the use of novelty detection methods combined with nondestructive ultrasound testing to identify structural problems in wind turbine blades. Ultrasound signals are
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