Defect detection of transformer lead bushing based on deep learning

Delong Wang; Wei Wang

doi:10.1117/12.2635201

25 April 2022 Defect detection of transformer lead bushing based on deep learning

Delong Wang, Wei Wang

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 1224446 (2022) https://doi.org/10.1117/12.2635201
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

The high-voltage lead bushing is the core component of the high-voltage lead insulation of a large transformer, and its operational reliability and maintenance are very important to the normal operation of its supporting power transformer.This paper proposes to use YOLOv5s as the recognition model to increase the detection accuracy by adding a small target detection layer. The proposed method mAP reaches 93.7%, which is 2.4% higher than the original YOLOv5s, which ensures the accuracy of detection.

Citation Download Citation

Delong Wang and Wei Wang "Defect detection of transformer lead bushing based on deep learning", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 1224446 (25 April 2022); https://doi.org/10.1117/12.2635201

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