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A data-driven approach for exploring partial discharge inception voltage of turn-to-turn insulation in inverter-fed motors

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Abstract

This paper aims to propose a novel data-driven approach for exploring the partial discharge inception voltage (PDIV) of turn-to-turn insulation in inverter-fed motors. To this end, the gas discharge theory-based finite element method is investigated to simulate the state of turn-to-turn insulation, and a comprehensive database is established concerning the structural and environmental factors. Subsequently, a bisected deep belief network (BDBN), which combines with deep belief networks (DBN) and the bisection method, is proposed to explore PDIV. Specifically, DBN is designed to distinguish the discharge state of turn-to-turn insulation, and the testing applied voltage is adaptively adjusted to explore PDIV by the bisection method. The experiment result demonstrates the effectiveness and reliability of BDBN in exploring PDIV of turn-to-turn insulation in terms of precision.

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Acknowledgements

This work was supported by the Scientific Project of Civil Aviation Flight University of China (CAFUC) under Grants 2022005 (J2022-043) and ZHMH2022-006.

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Authors and Affiliations

  1. College of Electrical Engineering, Sichuan University, Chengdu, 610065, Sichuan, People’s Republic of China

    Peiyi Li & Peng Wang

  2. School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, People’s Republic of China

    Peiyi Li & Xihai Zhang

  3. Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, Yunnan, People’s Republic of China

    Jian Wang

  4. School of Computer Science, Civil Aviation Flight University of China, Guanghan, 618307, Sichuan, People’s Republic of China

    Zeyi Shang

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  1. Peiyi Li
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  4. Jian Wang
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Contributions

PL took part in conceptualization, methodology, writing—original draft, investigation, validation, writing—review and editing. XZ involved in conceptualization, methodology, software, writing—original draft, validation, writing—review and editing. PW involved in validation, supervision writing—review and editing. JW took part in methodology, validation, writing—review and editing. ZS involved in funding acquisition, supervision, validation, writing—review and editing.

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Correspondence to Xihai Zhang.

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Li, P., Zhang, X., Wang, P. et al. A data-driven approach for exploring partial discharge inception voltage of turn-to-turn insulation in inverter-fed motors. Electr Eng 105, 2861–2870 (2023). https://doi.org/10.1007/s00202-023-01856-w

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