NDLI: Self-learning digital filter for the field location of partial discharge in cables

Content Provider	IEEE Xplore Digital Library
Author	Zhifang Du Mashikian, M.S.
Copyright Year	1994
Description	Author affiliation: Electr. Insulation Res. Center, Connecticut Univ., Storrs, CT, USA (Zhifang Du; Mashikian, M.S.)
Abstract	The resolution and robustness of a cable PD locating instrument, based on time-domain reflectrometry (TDR), are critically affected by noise present in a field environment. The permanent background noise encountered during field tests has been shown to be mainly due to amplitude modulation (AM) radio signals. This paper describes a self-learning digital filter aimed at mitigating this noise. The filter, in conjunction with a signal averaging routine, has been successfully used to reduce noise and enhance the PD signal obtained from a cable in a field environment. Examples are provided to demonstrate the ability of the filter to significantly improve the signal-to-noise ratio (SNR) and effectively extract PD signals from field recordings.<>
Starting Page	245
Ending Page	248
File Size	382818
Page Count	4
File Format	PDF
ISBN	0780319427
ISSN	1089084X
DOI	10.1109/ELINSL.1994.401520
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-05
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Digital filters Working environment noise Signal to noise ratio Signal resolution Noise robustness Instruments Time domain analysis Background noise Testing Amplitude modulation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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