Insulator Fault Diagnosis Based on Improved Transfer Learning from ...
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A novel fault diagnosis algorithm of power insulators is proposed to provide a fast and accurate power inspection scheme.
Abstract— Insulator fault diagnosis is a daily but key task for the power transmission system. Long-term exposure to complex natural environment will cause�...
To address this issue, a distributed fault diagnosis method for rolling bearings based on federated transfer learning is proposed. This method ensures data�...
In this paper, a method based on deep learning is proposed for insulator fault detection in diverse aerial images.
Sep 7, 2022 � Most state-of-the-art methods contain two or more stages, including insulator detection and defect locating. Some also involve hand-designed�...
An Image-Based Deep Learning Approach with Improved DETR for Power Line Insulator Defect Detection. Article. Full-text available. Sep 2022. Yang Cheng � Daming�...
Feb 20, 2024 � This paper proposes an improved YOLOv5s insulator defect detection model in order to solve the problems of insufficient training data and low recognition�...
This paper proposed an improved Tiny-YOLOv4 lightweight target detection network algorithm. This algorithm combined the Self-Attention mechanism and ECA-Net.
The traditional insulator-defect detection method mainly uses helicopter-manned inspection, field inspection, or traditional detection algorithms to analyze�...
To automatically detect faults in UAV-captured insulator images, this paper presents a method that introduces DETR into insulator defect detection.