淡江大學機構典藏:Item 987654321/45729
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 64191/96979 (66%)
造訪人次 : 8201107      線上人數 : 7496
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋


    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45729


    題名: Application of an Adaptive-Network-Based Fuzzy Inference System for the Optimal Design of a Chinese Braille Display
    作者: Yeh, Fung-huei;Tsay, Huoy-shyi;Liang,Shih-hao
    貢獻者: 淡江大學機械與機電工程學系
    日期: 2005-02
    上傳時間: 2010-03-26 19:50:12 (UTC+8)
    出版者: Singapore: World Scientific Publishing Co. Pte. Ltd.
    摘要: This paper develops a forward-inverse prediction technique of an adaptive-network-based fuzzy inference system (ANFIS) to optimize the design of a relay-actuated Chinese Braille display (CBD) and to reduce the operation temperature. The key element in CBD, electromagnetic actuator assembled by relay, level, and plastic pin, must operate in lower temperature in order to have enough functional force exerted by relay to lift up Braille dots (pin-heads). However, electromagnetic actuators are often destroyed by thermal damage and the thrust force sensed from Braille dots is gradually reduced by the raising of operation temperature. Two design parameters that have the major influence on the thrust force and maximum operation temperature, including supply voltage and coil resistance of relay, were first analyzed by the thermal and electromagnetic numerical forward models to establish the basic databases for ANFIS. Using these databases, the optimal design of CBD can be forward-inversely predicted by ANFIS. As a verification of this forward-inverse mode, the forward predicted maximum operation temperature and the design thrust force inversely predicting the optimal supply voltage by ANFIS were compared with experimental data. The comparison indicates that the maximum operation temperature and the thrust force of both natural and force convection models achieved satisfactory accuracy. When two bell-shape membership functions were adopted, the best accuracy of the forward predicted maximum temperature of ANFIS reached is as high as 99.71% for natural convection model, and the best accuracy of the design thrust force for the inversely predicted supply voltage of ANFIS reached is also as high as 95.50% for force convection model. This investigation proves that the forward-inverse prediction mode developed for ANFIS with thermal and electromagnetic analyses can supply a useful soft computing technique for the optimal design of CBD.
    關聯: Biomedical Engineering: Applications, Basis and Communications 17(1), pp.50-60
    DOI: 10.4015/S1016237205000093
    顯示於類別:[機械與機電工程學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    Application of an Adaptive-Network-Based Fuzzy Inference System for the Optimal Design of a Chinese Braille Display.pdf1438KbAdobe PDF1檢視/開啟
    index.html0KbHTML55檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋