Approach Techniques for Detecting Disconnected Locations of Down Conductors inside Wind Turbine Blades without Trial and Error

Triruttanapiruk, Nawakun; Kodera, Ippei; Yamamoto, Kazuo

doi:10.1109/iclp.2018.8503498

Cited by 2 publications

References 3 publications

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A Drone-Driven X-Ray Image-Based Diagnosis of Wind Turbine Blades for Reliable Operation of Wind Turbine

Lee,

Hwang,

Lee

et al. 2024

IEEE Access

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In this paper, we propose methods for the diagnosis of down conductor cables installed inside blades for the reliable operation of wind turbines. Utilizing the two synchronized drones equipped with Xray devices to take X-ray images inside the blades, we propose deep learning methods for diagnosis based on X-ray images. The first method is the unsupervised deblurring method for blurry X-ray images that are generated by the drones. The key idea of the proposed method is to apply an image sharpening process to the latent space of the trained model using only blurry X-ray images. Through experiments using the Xray images of blades, we show that the proposed method makes the outline of the down conductor cable clearer. As the second method, we propose an object detection-based method to provide fast and accurate object detection as the diagnosis. Given an X-ray image, we also propose a method to determine drone flight direction to enable drones to follow the down conductor cable. Through experiments, we show that our method has good performance in object detection (i.e., mAP of 98.21%) and classification (i.e., AUC of 0.9), and drone flight direction determination (i.e., AUC of 0.99).

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A Drone-Driven X-Ray Image-Based Diagnosis of Wind Turbine Blades for Reliable Operation of Wind Turbine

Lee,

Hwang,

Lee

et al. 2024

IEEE Access

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Application of Genetic Algorithm to Detect Disconnected Locations of Down Conductors along Wind Turbine Blades

Triruttanapiruk

Yamamoto

2019

2019 11th Asia-Pacific International Conference on Lightning (APL)

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Approach Techniques for Detecting Disconnected Locations of Down Conductors inside Wind Turbine Blades without Trial and Error

Cited by 2 publications

References 3 publications

A Drone-Driven X-Ray Image-Based Diagnosis of Wind Turbine Blades for Reliable Operation of Wind Turbine

A Drone-Driven X-Ray Image-Based Diagnosis of Wind Turbine Blades for Reliable Operation of Wind Turbine

Application of Genetic Algorithm to Detect Disconnected Locations of Down Conductors along Wind Turbine Blades

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