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Entropy
Volume 28
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10.3390/e28060709
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

A Fault Diagnosis Method for Transmission Networks Based on Multi-Source Information Fusion

by
Shifu Gu
1,
Xiaotian Chen
1,2,
Tao Wang
1,*,
Quanlin Leng
1 and
Chunyu Zhou
1
1
School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
2
Neijiang Power Supply Company, State Grid Sichuan Electric Power Company, Neijiang 641199, China
*
Author to whom correspondence should be addressed.
Entropy 2026, 28(6), 709; https://doi.org/10.3390/e28060709 (registering DOI)
Submission received: 13 May 2026 / Revised: 17 June 2026 / Accepted: 17 June 2026 / Published: 20 June 2026
(This article belongs to the Section Signal and Data Analysis)
Versions Notes

Abstract

In order to solve the miscalculation problem caused by the distortion and loss of fault information caused by the traditional transmission grid fault diagnosis method due to the severe meteorological environment, a transmission grid fault diagnosis method based on multi-source information fusion is proposed. Firstly, the pulse fault degree, amplitude fault degree and meteorological fault degree are obtained by analyzing the switching, electrical and meteorological information from multiple sources using the binary reasoning spiking neural P systems, Hilbert–Huang transform and meteorological fusion methods, respectively. Then, the fault diagnosis results are obtained by fusing the various fault degrees using the analytic hierarchy process. Finally, simulation experiments are conducted on the standard IEEE39-bus system built by PSCAD simulation software, and the results verify the feasibility and effectiveness of the proposed diagnosis method in this paper.
Keywords: multi-source; fault diagnosis; meteorological factors; fault degree multi-source; fault diagnosis; meteorological factors; fault degree

Share and Cite

MDPI and ACS Style

Gu, S.; Chen, X.; Wang, T.; Leng, Q.; Zhou, C. A Fault Diagnosis Method for Transmission Networks Based on Multi-Source Information Fusion. Entropy 2026, 28, 709. https://doi.org/10.3390/e28060709

AMA Style

Gu S, Chen X, Wang T, Leng Q, Zhou C. A Fault Diagnosis Method for Transmission Networks Based on Multi-Source Information Fusion. Entropy. 2026; 28(6):709. https://doi.org/10.3390/e28060709

Chicago/Turabian Style

Gu, Shifu, Xiaotian Chen, Tao Wang, Quanlin Leng, and Chunyu Zhou. 2026. "A Fault Diagnosis Method for Transmission Networks Based on Multi-Source Information Fusion" Entropy 28, no. 6: 709. https://doi.org/10.3390/e28060709

APA Style

Gu, S., Chen, X., Wang, T., Leng, Q., & Zhou, C. (2026). A Fault Diagnosis Method for Transmission Networks Based on Multi-Source Information Fusion. Entropy, 28(6), 709. https://doi.org/10.3390/e28060709

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