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TSSSKD-YOLO: an intelligent classification and defect detection method of insulators on transmission lines by fusing knowledge distillation in multiple scenarios

Crossref DOI link: https://doi.org/10.1007/s00530-025-01772-y

Published Online: 2025-04-07

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ye, Yongsheng

Tan, Guoguang

Liu, Qiang

Liu, Liu

Chu, Jiawei

Wen, Bin

Li, Lili
Funding

Funding for this research was provided by:

the Quality and Reliability Test and Evaluation service platform for industrial mother-machine, China (2022-232-223)

Hubei Transmission Line Engineering Research Center, Recognition of insulator images with small sample based on Data Augmentation and YOLOv5, China (2022KXL03)
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Text and Data Mining valid from 2025-04-07

Version of Record valid from 2025-04-07
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Article History

Received: 18 November 2024

Accepted: 19 March 2025

First Online: 7 April 2025

Declarations

:

: The authors declare that there are no financial interests.

: We affirm that this research adheres to ethical standards.

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