TY - GEN
T1 - Distributed Fiber-Optic Sensing for Partial Discharge Detection of Stress Cone Dislocation Defects in High Voltage Cable Joints
AU - Tang, Zhenfu
AU - Chen, Hao
AU - Xu, Yang
N1 - Publisher Copyright:
© 2022 IEEJ.
PY - 2022
Y1 - 2022
N2 - One of the most important methods for evaluating the insulation condition of power equipment is the on-site partial discharge test. Fiber-optic sensors based on various principles have been developed to detect the acoustic signal of partial discharge due to their high immunity to electromagnetic interference and ability to be embedded within power equipment capabilities. A novel distributed fiber-optic acoustic sensor based on phase-sensitive optical time-domain reflectometry Φ-OTDR) was proposed in this paper for the detection of partial discharge acoustics on power cable joints. The Φ-OTDR-based partial discharge acoustic detection system measured the coherent Rayleigh backscattered (RBS) light in a single-mode optical fiber route, which carries the acoustic perturbation occurrences somewhere along the fiber route, and is transmitted back to the near-end of the optical fiber. The target phase shift-collected by the distributed fiber-optic sensors under partial discharge- induced acoustic perturbations is present in both the amplitude- modulated and phase-modulated terms of the RBS signal, and then the acoustic-related phase shift terms can be demodulated by introducing the Hilbert transform based signal processing algorithms. Its effectiveness for partial discharge ultrasonic detection of 15 kV cable joints has been validated, and the Φ-OTDR detection system was also used to measure the stress cone dislocation defect of a 220 kV cable joint, and the test results of the piezoelectric measurement method were compared to validate the effectiveness of Φ-OTDR distributed fiber sensors. The experimental results show that the proposed distributed fiber-optic sensing system can effectively detect and locate the partial discharge signal.
AB - One of the most important methods for evaluating the insulation condition of power equipment is the on-site partial discharge test. Fiber-optic sensors based on various principles have been developed to detect the acoustic signal of partial discharge due to their high immunity to electromagnetic interference and ability to be embedded within power equipment capabilities. A novel distributed fiber-optic acoustic sensor based on phase-sensitive optical time-domain reflectometry Φ-OTDR) was proposed in this paper for the detection of partial discharge acoustics on power cable joints. The Φ-OTDR-based partial discharge acoustic detection system measured the coherent Rayleigh backscattered (RBS) light in a single-mode optical fiber route, which carries the acoustic perturbation occurrences somewhere along the fiber route, and is transmitted back to the near-end of the optical fiber. The target phase shift-collected by the distributed fiber-optic sensors under partial discharge- induced acoustic perturbations is present in both the amplitude- modulated and phase-modulated terms of the RBS signal, and then the acoustic-related phase shift terms can be demodulated by introducing the Hilbert transform based signal processing algorithms. Its effectiveness for partial discharge ultrasonic detection of 15 kV cable joints has been validated, and the Φ-OTDR detection system was also used to measure the stress cone dislocation defect of a 220 kV cable joint, and the test results of the piezoelectric measurement method were compared to validate the effectiveness of Φ-OTDR distributed fiber sensors. The experimental results show that the proposed distributed fiber-optic sensing system can effectively detect and locate the partial discharge signal.
KW - distributed optical fiber sensors
KW - high voltage cable joint
KW - partial discharge
KW - phase-sensitive optical time-domain reflectometry
UR - https://www.scopus.com/pages/publications/85146591379
U2 - 10.23919/CMD54214.2022.9991287
DO - 10.23919/CMD54214.2022.9991287
M3 - 会议稿件
AN - SCOPUS:85146591379
T3 - 2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022
SP - 83
EP - 86
BT - 2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022
Y2 - 13 November 2022 through 18 November 2022
ER -