Power Cable Vibration Detection and Signal Feature Parameter Extraction Based on Optical Fiber Mach-Zehnder Interference
Author:
Affiliation:
1. School of Electrical Engineering, Chongqing University,State Key Laboratory of Power Transmission Equipment Technology,Chongqing,China
2. Equipment Status Evaluation Center, State Grid Chongqing Electric Power Research Institute,Chongqing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10468576/10468671/10469470.pdf?arnumber=10469470
Reference13 articles.
1. Online multi-parameter sensing and condition assessment technology for power cables: A review
2. Review of optical fibre sensors for electrical equipment characteristic state parameters detection
3. Partial Discharge Pattern Recognition Based on a Multifrequency F–P Sensing Array, AOK Time–Frequency Representation, and Deep Learning
4. A Centimeter Resolution GIS Insulator Strain Distribution Measurement Method Based on OFDR
5. A Partial Discharge Detection System for XLPE Cable Terminals and Acoustic Wave Sensing Characteristics Based on Fiber Optic Mach-Zehnder Interferometer
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