Transactions of China Electrotechnical Society  2018, Vol. 33 Issue (5): 1133-1142    DOI: 10.19595/j.cnki.1000-6753.tces.162019
Current Issue| Next Issue| Archive| Adv Search |
The Raman Spectral Feature Extraction and Diagnosis of Oil-Paper Insulation Ageing
Zou Jingxin, ChenWeigen, Wan Fu, Fan Zhou
State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing 400044 China

Download: PDF (24352 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  Accurate diagnosis of oil-paper insulation ageing stage serves as an important technology to prevent major accidents of oil-paper insulation equipment. The extraction of effective characteristics which reflect the insulation ageing proves to be the essential step. Raman spectroscopy has been demonstrated that it has great potential of mixture composition analysis and condition diagnosis. In this paper, the Raman spectral features of oil-paper insulation samples were researched and extracted based on the Raman spectroscopy platform. Firstly, the samples in different ageing stages were prepared by thermal accelerated ageing process. Then the principal component analysis method was employed to reduce dimensionality of the obtained Raman spectral data. Secondly, the spectral features strongly corresponding to the ageing of oil-paper insulation were extracted. Based on Raman spectral features, multi-classification support vector machine optimized by particle swarm algorithm was used to set up an oil-paper insulation ageing diagnosis model. Finally, the diagnostic capability and universality of the established algorithm were verified by the samples made in lab.
Key wordsRaman spectroscopy      oil-paper insulation      features      ageing diagnosis     
Received: 27 December 2016      Published: 14 March 2018
PACS: TM835  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Zou Jingxin
ChenWeigen
Wan Fu
Fan Zhou
Cite this article:   
Zou Jingxin,ChenWeigen,Wan Fu等. The Raman Spectral Feature Extraction and Diagnosis of Oil-Paper Insulation Ageing[J]. Transactions of China Electrotechnical Society, 2018, 33(5): 1133-1142.
URL:  
https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.162019     OR     https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I5/1133
Copyright © Transactions of China Electrotechnical Society
Supported by: Beijing Magtech