ASIA unversity:Item 310904400/78508
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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/78508


    Title: Design of Power Quality Analyzer Based on Adaptive Linear Neural Network
    Authors: 陳正一;Chen, Cheng-I
    Contributors: 資訊工程學系
    Keywords: analyzer;flickermeter;PQ-event identifier.
    Date: 2010.06
    Issue Date: 2013-12-26 10:16:53 (UTC+0)
    Abstract: The monitoring of electrical quantities is an
    important task for the evaluation of power quality
    (PQ). However, analysis methods for PQ
    disturbances are quite different. This circumstance
    would make the design of a low-cost PQ-measuring
    instrument difficult. In this paper, the design and
    implementation of a virtual multifunction PQ
    analyzer based on the adaptive linear neural network
    (ADALINE) is discussed. The main advantages of
    the realized analyzer are the simplification and
    integration for the harmonic/interharmonic analyzer,
    flickermeter, and PQ-event identifier by adopting the
    same computational mechanism. Finally, some
    experimental results are displayed to report the
    performance of proposed virtual multifunction
    analyzer.
    Relation: Proceedings of the 5th Intelligent Living Technology Conference
    Appears in Collections:[Department of Computer Science and Information Engineering] Proceedings

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