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Novel data compression technique for power waveforms using adaptive fuzzy logic
Faculty
Not Specified
Year:
2005
Type of Publication:
Article
Pages:
2136-2143
Authors:
Morcos, MM, Ibrahim, WRA
DOI:
10.1109/TPWRD.2005.848458
Journal:
IEEE TRANSACTIONS ON POWER DELIVERY IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Volume:
20
Research Area:
Engineering
ISSN
ISI:000230223100046
Keywords :
adaptive systems, artificial intelligence, data communication, data compression, fuzzy systems, power quality
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.
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