Guomin Luo and Daming Zhang and Yong Kwee Koh and Kim Teck Ng and Helmi Kurniawan and Weng Hoe Leong
An Advanced TimeFrequency Domain Method for PD Extraction with NonIntrusive Measurement
167 - 173
2012
6
2
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/2006
https://publications.waset.org/vol/62
World Academy of Science, Engineering and Technology
Partial discharge (PD) detection is an important
method to evaluate the insulation condition of metalclad apparatus.
Nonintrusive sensors which are easy to install and have no
interruptions on operation are preferred in onsite PD detection.
However, it often lacks of accuracy due to the interferences in PD
signals. In this paper a novel PD extraction method that uses frequency
analysis and entropy based timefrequency (TF) analysis is introduced.
The repetitive pulses from convertor are first removed via frequency
analysis. Then, the relative entropy and relative peakfrequency of
each pulse (i.e. timeindexed vector TF spectrum) are calculated and
all pulses with similar parameters are grouped. According to the
characteristics of nonintrusive sensor and the frequency distribution
of PDs, the pulses of PD and interferences are separated. Finally the
PD signal and interferences are recovered via inverse TF transform.
The denoised result of noisy PD data demonstrates that the
combination of frequency and timefrequency techniques can
discriminate PDs from interferences with various frequency
distributions.
Open Science Index 62, 2012