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Ultrasonic Transducers with Large Quality Factor

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials, Volume 33, Number 4(1) (2021)
Copyright(C) MYU K.K.
pp. 1127-1136
S&M2522 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.2974
Published: April 6, 2021

Intelligent Monitoring System Based on Optical Fiber Acoustic Emission Sensor and Its Application in Partial Discharge Diagnosis of Gas-insulated Switchgear [PDF]

Shiqi Hou, Yongrui Qin, Jiaxin Gao, Fuyong Lyu, and Xuefeng Li

(Received July 6, 2020; Accepted January 11, 2021)

Keywords: partial discharge, optical fiber AE sensor, polarization modulation, BP-ANN

Gas-insulated switchgear (GIS) is widely used in high-voltage power transmission systems. There has also been increasing demand for the real-time and online detection of faults in GIS equipment. In this study, a new type of optical fiber acoustic emission (AE) sensor based on the photoelastic effect and the polarization modulation method is proposed and fabricated. Partial discharge (PD)-induced AE signals of different defects were collected by this sensor and used for back-propagation artificial neural network (BP-ANN) training and recognition after data preprocessing and feature extraction. The results of the research show that a BP-ANN with self-adaptation and self-learning combined with the proposed sensor has good performance in the recognition and prediction of PD faults in GIS equipment, and the average accuracy of the test set reached 93.7%. The detection technology for weak AE signals and the fault identification method reported in this study can provide a reference for online monitoring of GIS and other equipment, which will have appreciable economic value and social significance.

Corresponding author: Xuefeng Li


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Cite this article
Shiqi Hou, Yongrui Qin, Jiaxin Gao, Fuyong Lyu, and Xuefeng Li, Intelligent Monitoring System Based on Optical Fiber Acoustic Emission Sensor and Its Application in Partial Discharge Diagnosis of Gas-insulated Switchgear, Sens. Mater., Vol. 33, No. 4, 2021, p. 1127-1136.



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