Title
Cast-resin dry-type transformer partial discharge signal analysis using spectral correlated empirical mode decomposition method
Abstract
Cast-resin dry-type transformers are widely used in high power applications. Long-term operation increases the extent of damages if no proper safeguards are taken. The major cause of transformer damages is insulation deterioration, which is correlated with partial discharge (PD) occurrence. Recent PD research studies have focused on how to locate the PD occurrence and improve the accuracy of PD detection. The best way to improve the accuracy is to locate the elements affected by the PD. Based on the empirical mode decomposition (EMD) method, the correlated-EMD method (CEMD) was proposed to filter out the uncorrelated intrinsic-mode functions (IMFs), and reveal a PD-affected signal as the filtered result. The spectral CEMD method proposed herein improves the screening process especially for those IMFs with low-frequency vibrations. The results of the spectral CEMD method showed the clearer pattern for PD detection than that of the CEMD method. This algorithm can provide useful information for PD analyses and improve PD identification.
Year
DOI
Venue
2013
10.1109/I2MTC.2013.6555472
Instrumentation and Measurement Technology Conference
Keywords
Field
DocType
acoustic emission,correlation methods,partial discharges,power transformers,resins,signal detection,imf,pd detection,cast resin dry type transformers,correlated emd method,empirical mode decomposition,insulation deterioration,low frequency vibrations,partial discharge,spectral cemd,uncorrelated intrinsic mode functions,acoustics,sensors,algorithm design and analysis,correlation
Signal processing,Partial discharge,Detection theory,Transformer,Uncorrelated,Electronic engineering,Vibration,Acoustic emission,Mathematics,Hilbert–Huang transform
Conference
ISSN
ISBN
Citations 
1091-5281
978-1-4673-4621-4
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Ya-wen Tang101.01
Ching-Chau Su200.34
Cheng-Chi Tai385.43
Jiann-Fuh Chen429335.28