淡江大學機構典藏:Item 987654321/66868
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    題名: Intelligent Vibration Signal Diagnostic System Using Artificial Neural Network
    作者: Lin, Chang-Ching;Shieh, Shien-Chii
    貢獻者: 淡江大學經營決策學系
    日期: 2009-10
    上傳時間: 2011-10-22 21:17:13 (UTC+8)
    出版者: IEEE Computer Society; IEEE Intelligent Computation Society; IEEE Computer Society on Simulation
    摘要: 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.
    關聯: Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on vol.1, pp.346-349
    DOI: 10.1109/ICICTA.2009.91
    顯示於類別:[管理科學學系暨研究所] 會議論文

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