Study on the aging diagnosis of oil-paper insulation based on ultrasonic time-frequency characteristics

Qing Wang; Yihua Qian; Yaohong Zhao; Dingkun Yang; Zhuang Yang

doi:10.1117/12.3030752

5 June 2024 Study on the aging diagnosis of oil-paper insulation based on ultrasonic time-frequency characteristics

Qing Wang, Yihua Qian, Yaohong Zhao, Dingkun Yang, Zhuang Yang

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131636E (2024) https://doi.org/10.1117/12.3030752
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

Timely and effective identification of transformer aging is of great importance to the safety and stability of the power system. In this paper, a method for diagnosing the aging of oil-paper insulation based on ultrasonic time-frequency characteristics is proposed. First, the prepared aged oil samples were subjected to ultrasonic testing. Then, the Pearson correlation coefficient method was used to screen 8 ultrasonic features that were strongly correlated with the aging of oilpaper insulation. Finally, a transformer aging diagnostic model is established based on the above features and combined with radial basis function neural network. The results show that the diagnostic accuracy of the model proposed in this paper exceeds 90%. The method proposed in this paper has the potential of on-line evaluation of aging state of transformer.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qing Wang, Yihua Qian, Yaohong Zhao, Dingkun Yang, and Zhuang Yang "Study on the aging diagnosis of oil-paper insulation based on ultrasonic time-frequency characteristics", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131636E (5 June 2024); https://doi.org/10.1117/12.3030752

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