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Fault detection in insulators based on ultrasonic signal processing using a hybrid deep learning technique.
- Published in:
- IET Science, Measurement & Technology (Wiley-Blackwell), 2020, v. 14, n. 10, p. 953, doi. 10.1049/iet-smt.2020.0083
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- Article
Classification of Contaminated Insulators Using k -Nearest Neighbors Based on Computer Vision.
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- Computers (2073-431X), 2021, v. 10, n. 9, p. 112, doi. 10.3390/computers10090112
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- Article
Evaluation of visible contamination on power grid insulators using convolutional neural networks.
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- Electrical Engineering, 2023, v. 105, n. 6, p. 3881, doi. 10.1007/s00202-023-01915-2
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- Article
Classification of insulators using neural network based on computer vision.
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- IET Generation, Transmission & Distribution (Wiley-Blackwell), 2022, v. 16, n. 6, p. 1096, doi. 10.1049/gtd2.12353
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- Article