Optical Characteristics and Fault Diagnosis of Partial Discharge in C4F7N/CO2 Gas mixture and SF6 Based on Novel Multispectral Microarray Detection

Yiming Zang, Yong Qian*, Xiaoli Zhou, Mohamad Ghaffarian Niasar, Gehao Sheng, Xiuchen Jiang

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
50 Downloads (Pure)

Abstract

Optical partial discharge (PD) detection is an efficient means of diagnosing the insulation status of power equipment. C4F7N/CO2 gas mixture is a very potential environmentally-friendly SF6 substitute gas, and its PD optical characteristics need to be studied to guide the PD diagnosis of novel C4F7N/CO2 equipment. Therefore, this article proposes a multispectral microarray detection technology, which can achieve high-sensitivity detection and PD diagnosis by simultaneously collecting the spectral characteristics of multiple bands. By setting up an experimental platform, the PD experiments of four typical defects in the C4F7N/CO2 gas mixture with five different proportions and pure SF6 are carried out. Based on the analysis of PD multispectral features, the correlation between different gases and the difference between different defects are obtained. Finally, by combining multispectral detection with a t-distributed stochastic neighbor embedding (T-SNE) feature extraction algorithm, a PD diagnosis method that can adapt to both C4F7N/CO2 gas mixture and SF6 is proposed, which provides a reference for the PD detection of novel C4F7N/CO2 equipment application.

Original languageEnglish
Article number9760393
Pages (from-to)1079 - 1086
Number of pages8
JournalIEEE Transactions on Dielectrics and Electrical Insulation
Volume29
Issue number3
DOIs
Publication statusPublished - 2022

Keywords

  • C4F7N/CO2 gas mixture
  • multispectral microarray detection
  • optical characteristic
  • Optical sensors
  • partial discharge
  • Partial discharges

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