Sound pattern recognition method of transformer core based on convolutional neural network

Jingpo Bai; Kang Wang; Weijia Wang; Zhen Qiu; Anming He

doi:10.1117/12.2672895

25 April 2023 Sound pattern recognition method of transformer core based on convolutional neural network

Jingpo Bai, Kang Wang, Weijia Wang, Zhen Qiu, Anming He

Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 125983B (2023) https://doi.org/10.1117/12.2672895
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China

Abstract

Transformer core voiceprint mode is a voiceprint recognition method based on convolution neural network. With the help of noise experimental platform and core model vibration, the vibration acoustic signals under different working conditions can be detected, and then all the collected correlation data and acoustic data are compared and analyzed. After that, the final network structure and super parameters can be optimized and adjusted to ensure that the final recognition rate of acoustic signals can reach the ideal standard.

Citation Download Citation

Jingpo Bai, Kang Wang, Weijia Wang, Zhen Qiu, and Anming He "Sound pattern recognition method of transformer core based on convolutional neural network", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 125983B (25 April 2023); https://doi.org/10.1117/12.2672895

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