Application and Challenges of Large-scale Language Models Such as GPT in the Field of Power Equipment Condition Assessment

MA Guoming; QIN Weiqi; WANG Yuan; LIN Jiajun; HU Junhua; LI Chen

doi:10.13296/j.1001-1609.hva.2026.05.025

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Application and Challenges of Large-scale Language Models Such as GPT in the Field of Power Equipment Condition Assessment

Technical Discussion | 更新时间：2026-05-13

- Application and Challenges of Large-scale Language Models Such as GPT in the Field of Power Equipment Condition Assessment
- High Voltage Apparatus Vol. 62, Issue 5, Pages: 210-217(2026)
- 作者机构：
  
  华北电力大学新能源电力系统国家重点实验室，北京 102206
  国网浙江省电力有限公司，杭州 310014
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.05.025
  CLC：
- Received：16 January 2025，
  
  Revised：2025-05-25，
  
  Published：16 May 2026
- 稿件说明：
移动端阅览
MA Guoming, QIN Weiqi, WANG Yuan, et al. Application and Challenges of Large-scale Language Models Such as GPT in the Field of Power Equipment Condition Assessment[J]. High Voltage Apparatus, 2026, 62(5): 210-217.
DOI：

MA Guoming, QIN Weiqi, WANG Yuan, et al. Application and Challenges of Large-scale Language Models Such as GPT in the Field of Power Equipment Condition Assessment[J]. High Voltage Apparatus, 2026, 62(5): 210-217. DOI： 10.13296/j.1001-1609.hva.2026.05.025.

摘要

大规模模型对电气工程领域的影响将扩展到产业、教学及科学研究各个领域的多个环节。为促进电气工程领域研究人员对大规模语言模型的理解，文中首先介绍了GPT等大型语言模型的发展历程；其次针对GPT的原理与工作流程进行了阐述；最后讨论了GPT的优势与局限性。然后针对大规模语言模型在电气设备状态评估领域的应用机遇进行了详细分析，并提出了可能存在的问题。最后为了更好的发挥大规模语言模型的作用，提出了需要进一步开展的工作与发展建议。希望为大规模语言模型在电气设备状态评估领域的发展提供参考。

Abstract

The impact of large-scale models on the field of electrical engineering will extend to various aspects of industry

education

and scientific research. To promote a better understanding of large-scale language models among researchers in the electrical engineering field

in this paper the development history of large-scale language models such as GPT is introduced firstly. Then

the principles and workflow of GPT are descrbed. After that

the advantages and limitations of GPT are discussed. Furthermor

the application opportunities of large-scale language models in the field of electrical equipment condition assessment are analyzed in detail

and the potential problems are also proposed. Finally

further work and development suggestions are proposed in order to better utilize large-scale language models. The aim of this paper is to provide a reference for the development of large-scale language models in the field of electrical engineering.

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references

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