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

Abstract

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 selfadaptation 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.

Theoretical Analysis and Experimental Verification of Polytetrafluoroethylene Surface Flashover from Electrostatic Electromagnetic Pulse Field

“…(8)(9)(10)(11) In recent years, relevant research has been mainly focused on the surface flashover characteristics of PTFE materials and the induced conditions of complex space environments. (12)(13)(14)(15)(16) Xie and coworkers worked on the static electromagnetic pulse radiation field induced by a needle-ball electrode test under strong electromagnetic and space radiation environments. (17,18) Du et al studied the surface charging and flashover voltage behavior at different temperatures.…”

Intensity-modulated Refractive Index Sensor Using Tilted Fiber Bragg Grating with Bi2Te3 Film as Sensing Material

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