Partial Discharge Detection Using the Fiber-Optic Mach–Zehnder Interferometer System for XLPE Cables
Electrical Engineering(2022)SCI 4区
South China University of Technology | Guangzhou Power Supply Bureau of Guangdong Power Grid Co.
Abstract
Partial discharge (PD) detection is essential for evaluating the cross-linked polyethylene (XLPE) cable insulation. The acoustic waves originating from PD carry important characteristic information, which can be used for PD detection. In this paper, a fiber-optic Mach–Zehnder interferometer (MZI) has been constructed to detect PD of an air gap sample of simulated XLPE cable terminal. The results indicated that the MZI could effectively detect the acoustic signals of 88 pC PD in the insulating oil and 499 pC internal discharge in the sample. The pulse signal in the MZI sensing signal contains the acoustic information of PD. Its phase distribution map has good phase and amplitude correspondence with the phase-resolved partial discharge map of the HFCT sensing signal to identify PD. The application of fiber-optic sensing technology is beneficial to the construction of smart grid.
MoreTranslated text
Key words
Partial discharge,Cross-linked polyethylene cable,Acoustic waves,Mach–Zehnder interferometer
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
Intelligent Online Partial Discharge Detection and Sensor
Wireless Communications and Mobile Computing 2022
被引用3
2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) 2022
被引用0
APPLIED OPTICS 2023
被引用2
A Partial Discharge Detection System Based on Improved STMS Fiber UV Sensor
Optical Fiber Technology 2023
被引用0
A Machine Learning-Based Assessment Model for Defect Diagnosis in XLPE Power Cables
e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024
被引用0
ELECTRICAL ENGINEERING 2024
被引用0
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper