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  4. Vol 10, Issue 1, 2025

Synchronous detection system for temperature and strain in partial discharges of three-phase cables based on FBG and neural networks

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DOI: 10.23977/jeis.2025.100103 | Downloads: 17 | Views: 749

Author(s)

Gaopeng Zhang 1, Yao Zhao 1

Affiliation(s)

1 School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China

Corresponding Author

Yao Zhao

ABSTRACT

To detect the partial discharge (PD) faults in three-phase cross-linked polyethylene (XLPE) cable joints, this paper designs a parallel sensing detection system based on fiber Bragg gratings (FBG). By measuring the changes in the reflected power of FBGs in each branch and combining with a Back Propagation (BP) neural network algorithm, the demodulation of temperature and strain during PD is achieved. To verify the feasibility of this system, vibration signals and temperature changes are respectively applied to each FBG, and simulation experiments are carried out. The experimental results show that this system can accurately detect the temperature changes, the frequencies of vibration signals, and the strains in each branch, verifying its feasibility for detecting cable joint faults. In addition, by adjusting the sampling frequency of the photodetector, higher-frequency vibration signals can be measured.

KEYWORDS

Fiber Bragg grating, Back Propagation Neural Network, Partial Discharge fault

CITE THIS PAPER

Gaopeng Zhang, Yao Zhao, Synchronous detection system for temperature and strain in partial discharges of three-phase cables based on FBG and neural networks. Journal of Electronics and Information Science (2025) Vol. 10: 21-29. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2025.100103.

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