A Novel Signal Extraction Technique for Online Partial Discharge (PD) Measurement of Transformers

Seo, Junhyuck, Ma, Hui and Saha, Tapan (2015) A Novel Signal Extraction Technique for Online Partial Discharge (PD) Measurement of Transformers. International transactions on electrical energy systems, 26 5: 1032-1048. doi:10.1002/etep.2121

Author Seo, Junhyuck
Ma, Hui
Saha, Tapan
Title A Novel Signal Extraction Technique for Online Partial Discharge (PD) Measurement of Transformers
Journal name International transactions on electrical energy systems   Check publisher's open access policy
ISSN 2050-7038
Publication date 2015-01-01
Year available 2015
Sub-type Article (original research)
DOI 10.1002/etep.2121
Open Access Status Not yet assessed
Volume 26
Issue 5
Start page 1032
End page 1048
Total pages 17
Place of publication Chichester, West Sussex, United Kingdom
Publisher John Wiley & Sons
Language eng
Abstract One of the major difficulties of online partial discharge (PD) measurement of transformers is the effective extraction of PD signals, which are heavily coupled with noise. Wavelet transform has been widely adopted for the extraction of PD signals. However, its performance is highly dependent on proper selection of mother wavelet, decomposition levels and thresholding method. Such selection involves a series of complicated and extensive computations. Moreover, it is also difficult to find a mother wavelet, which has a high degree of similarity to PD signals generated by different types of PD sources. This paper proposes a novel differential signal extraction method as an alternative to wavelet transform for PD signal extraction. Its implementation is straight-forward as it does not involve any mother wavelet selection and decomposition level determination. It can effectively extract PD signals in the presence of multiple PD sources. The applicability of the proposed method is verified using datasets obtained from experiments in the laboratory and measurements on in-service transformers at substations.
Keyword Single extraction
Power transformer
Partial discharge
High frequency
Current transducer
Wavelet transform
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Information Technology and Electrical Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Thu, 20 Aug 2015, 20:42:58 EST by Dr Hui Ma on behalf of School of Information Technol and Elec Engineering