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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/66868

    Title: Intelligent Vibration Signal Diagnostic System Using Artificial Neural Network
    Authors: Lin, Chang-Ching;Shieh, Shien-Chii
    Contributors: 淡江大學經營決策學系
    Date: 2009-10
    Issue Date: 2011-10-22 21:17:13 (UTC+8)
    Publisher: IEEE Computer Society; IEEE Intelligent Computation Society; IEEE Computer Society on Simulation
    Abstract: In this paper artificial neural network (ANN) technologies and analytical models have been investigated and incorporated to increase the effectiveness and efficiency of machinery self diagnostic system. Several advanced vibration trending methods have been studied and used to quantify machine operating conditions. An on-line, multi-channel condition monitoring procedure has been developed and coded. The major technique used for self diagnostic is a modified ARTMAP neural network. The objective is to provide a rigid solution for condition-based intelligent self diagnostic system.
    Relation: Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on vol.1, pp.346-349
    DOI: 10.1109/ICICTA.2009.91
    Appears in Collections:[Department of Management Sciences] Proceeding

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