NDLI: Novel data compression technique for power waveforms using adaptive fuzzy logic

Content Provider	IEEE Xplore Digital Library
Author	Ibrahim, W.R.A. Morcos, M.M.
Copyright Year	1986
Abstract	Data storage and data communication currently pose a major problem for all parties involved with power quality and power systems monitoring. The problem arises from the tremendous amount of data involved. There is a common desire in the power industry to find new techniques for high-accuracy data compression and data storage. This paper introduces the details of a novel data-compression technique that is very suitable for application to power-quality waveforms, in particular, and to power system disturbance waveforms in general. The new technique is developed using adaptive neuro-fuzzy techniques. The paper explains the mechanics of the new technique. Full technique implementation details are given, and test cases based on power-quality waveforms are analyzed.
Sponsorship	IEEE Power Engineering Society
Starting Page	2136
Ending Page	2143
Page Count	8
File Size	617179
File Format	PDF
ISSN	08858977
Volume Number	20
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data compression Fuzzy logic Power quality Memory Data communication Power systems Monitoring Power industry Power system analysis computing Testing power quality Adaptive systems artificial intelligence data communication data compression fuzzy systems
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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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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