Multispectral Optical Partial Discharge Detection, Recognition, and Assessment-Reference-Cited by-同舟云学术

Multispectral Optical Partial Discharge Detection, Recognition, and Assessment

Published:2022 Issue: Volume:71 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xia Changjie¹^ORCID,Ren Ming¹^ORCID,Chen Rongfa¹^ORCID,Yu Jiahe¹^ORCID,Li Chen¹^ORCID,Chen Yue¹^ORCID,Wang Kai¹^ORCID,Wang Siyun¹^ORCID,Dong Ming¹^ORCID

Affiliation:

1. State Key Laboratory of Electrical Insulation and Power Equipment, Electrical Engineering, Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09741732.pdf?arnumber=9741732

Reference22 articles.

1. Highly sensitive photoacoustic multicomponent gas sensor for SF6 decomposition online monitoring

2. A SiPM-based trinal spectral sensor developed for detecting hazardous discharges in high-voltage switchgear;xiaobing;J Sensors,2020

3. Fault prediction of gas-insulated system with hypersensitive optical monitoring and spectral information

4. Optical partial discharge diagnostic in SF6 gas insulated system via multi-spectral detection

5. Optical Partial Discharge Diagnosis in SF6 Gas-Insulated System With SiPM-Based Sensor Array

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