<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The stability and high quality of electricity are the basic factors which ensure that the residents and enterprises lead a happy and productive life. Therefore, in order to meet the requirements of residents’ life and enterprise production, it is necessary to improve the efficiency and accuracy of power grid fault diagnosis. In this paper, the knowledge graph is integrated into the power grid fault diagnosis, and the fault diagnosis system of the knowledge graph is constructed to realise the fault diagnosis of the power grid. The article first completes the knowledge graph construction through knowledge extraction, knowledge fusion and knowledge processing; then, it completes the construction of the fault scheduling knowledge graph through power grid equipment fault records, entity attribute extraction, coreference resolution, relation extraction, relation screening and data integration; finally, combined with the fault information knowledge analysis technology, it builds a power grid fault diagnosis system using a knowledge graph. Experiments show that using the system to diagnose the fault quantity, fault location and fault analysis information of the pilot power grid not only has ideal efficiency but also has high accuracy.</p>
</abstract>

The stability and high quality of electricity are the basic factors which ensure that the residents and enterprises lead a happy and productive life. Therefore, in order to meet the requirements of residents’ life and enterprise production, it is necessary to improve the efficiency and accuracy of power grid fault diagnosis. In this paper, the knowledge graph is integrated into the power grid fault diagnosis, and the fault diagnosis system of the knowledge graph is constructed to realise the fault diagnosis of the power grid. The article first completes the knowledge graph construction through knowledge extraction, knowledge fusion and knowledge processing; then, it completes the construction of the fault scheduling knowledge graph through power grid equipment fault records, entity attribute extraction, coreference resolution, relation extraction, relation screening and data integration; finally, combined with the fault information knowledge analysis technology, it builds a power grid fault diagnosis system using a knowledge graph. Experiments show that using the system to diagnose the fault quantity, fault location and fault analysis information of the pilot power grid not only has ideal efficiency but also has high accuracy.

Application of knowledge graph in smart grid fault diagnosis

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Application of knowledge graph in smart grid fault diagnosis"}

The stability and high quality of electricity are the basic factors which ensure that the residents and enterprises lead a happy and productive life....

Application of knowledge graph in smart grid fault diagnosis

Publié en ligne: 30 nov. 2022

Pages: 349 - 360

Reçu: 29 mai 2022

Accepté: 08 août 2022

DOI: https://doi.org/10.2478/amns.2021.2.00258

Mots clés
knowledge graph, insulator, smart grid, fault diagnosis

© 2023 Wentao Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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Application of knowledge graph in smart grid fault diagnosis

Publié en ligne: 30 nov. 2022

Pages: 349 - 360

Reçu: 29 mai 2022

Accepté: 08 août 2022

DOI: https://doi.org/10.2478/amns.2021.2.00258

Mots clésknowledge graph, insulator, smart grid, fault diagnosis

© 2023 Wentao Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Mots clés
knowledge graph, insulator, smart grid, fault diagnosis