@article{XU2026, 
author = {Shaoyi XU and Lu YIN and Xing DENG and Fubin PANG and Chengtao WANG and Aiguo SONG},
title = {Influencing factors and suppression strategies of straight waveguide phase modulator error in fiber optical current transformers},
year = {2026},
journal = {Electric Power Engineering Technology},
volume = {45},
number = {7},
pages = {129-138},
keywords = {fiber optical current transformer (FOCT), straight waveguide phase modulator, insertion loss, half-wave voltage, error suppression, long short-time memory neural networks},
url = {https://www.sciopen.com/article/10.12158/j.2096-3203.2026.07.012},
doi = {10.12158/j.2096-3203.2026.07.012},
abstract = {The performance of a straight waveguide phase modulator is influenced by insertion loss and half-wave voltage, which in turn can lead to the degradation of fiber optical current transformers (FOCTs). Therefore, elucidating the impact patterns of insertion loss and half-wave voltage on the system error of FOCTs is crucial for further enhancing the performance of phase modulators. Based on the analysis of the working principle of the direct-coupled waveguide phase modulator, the theoretical models for both insertion loss and half-wave voltage of the modulator are established. Experiments are conducted to observe the variations of insertion loss and half-wave voltage under different environmental conditions, and to ascertain the influence of these variations on the system error of FOCTs. A long short-term memory neural network is utilized for error compensation of insertion loss and half-wave voltage in the direct-coupled waveguide phase modulator. The results show that after error compensation, the output error of the system under variable temperature conditions is within 0.05% and meets the accuracy requirements of the 0.2-class current sensor.}
}