A Data‐Driven Fast Calculation Method of GIL Temperature Field Distribution for Real‐Time Monitoring of the Thermal Faults Article Swipe
Zehua Wu
,
Yong Lü
,
Luming Xin
,
Jianwei Cheng
,
Sijia Zhu
,
Qingyu Wang
,
Linjie Zhao
,
Zongren Peng
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1049/smt2.70016
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1049/smt2.70016
In order to achieve the online analysis of the status of the current carrying structure by using the limited number of external sensors in three‐phase integrated gas insulated transmission line (GIL), this paper proposes a data‐driven fast calculation method for the temperature distribution with deep‐learning reduced‐order model, to address the efficiency issue of finite element and other numerical methods in real‐time applications. This method combines a proper orthogonal decomposition (POD) with the BP neural network (BPNN) and the deep convolutional neural network (DCNN) based on U‐net structure, respectively, so that the accuracy and efficiency of temperature calculation in the solid and fluid domains can be well balanced. A lower‐dimensional approximate system of the temperature in solid domains is constructed by POD so that the computational scale can be reduced. BPNN is introduced to map the external sensors data of the GIL to the feature coefficient obtained by POD nonlinearly. The DCNN based on U‐net structure is developed to estimate the temperature of the fluid domains by learning the feature of the solid domains, so as to obtain the overall temperature distribution. The results show that the proposed framework can rapidly and accurately predict the thermal state of sliding contact section in three‐phase integrated GIL with limited external data, where the maximum relative error is less than 1.0%. The proposed method achieves an acceleration factor of 5.6 × 10 3 compared with the numerical simulation software, providing an available option for the real‐time visualization and digital twin diagnosis of GIL temperature distribution.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/smt2.70016
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/smt2.70016
- OA Status
- gold
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411375309
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411375309Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/smt2.70016Digital Object Identifier
- Title
-
A Data‐Driven Fast Calculation Method of GIL Temperature Field Distribution for Real‐Time Monitoring of the Thermal FaultsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Zehua Wu, Yong Lü, Luming Xin, Jianwei Cheng, Sijia Zhu, Qingyu Wang, Linjie Zhao, Zongren PengList of authors in order
- Landing page
-
https://doi.org/10.1049/smt2.70016Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/smt2.70016Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/smt2.70016Direct OA link when available
- Concepts
-
Field (mathematics), Thermal, Distribution (mathematics), Computer science, Real-time computing, Electrical engineering, Electronic engineering, Materials science, Computational physics, Physics, Engineering, Mathematics, Meteorology, Mathematical analysis, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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27Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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