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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/67446

    Title: 運用資料探勘方法建立變壓器一、二次側間電容值預測模型;Using data mining to establish the transformer capacitance value between the primary and secondary side prediction model
    Authors: 顏錞靖;Yen,Chung-Jing
    Contributors: 工業管理研究所在職專班
    Keywords: 資料探勘;迴歸;決策樹;變壓器;電容
    Date: 2015-05-18
    Issue Date: 2015-07-30 17:51:41 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 電源供應器為電子電器產品不可或缺的零件,電源供應器中的變壓器是主要供給電子產品轉換電壓的元件,也是影響電源供應器電磁干擾強度的主要因子。而電子電器產品上市販售前,都必通過電磁干擾的測試,所以如何測試變壓器的電磁干擾強度,是變壓器重要的課題,為此我們發展出測試變壓器電磁干擾度的方式TCPS(Turns Capacitance between Primary and Secondary)。
    ;The power supplier is an essential part of electrical and electronic products. The transformer inside the power supplier is a main component for changing voltage, which also has key impacts on the power supplier’s electromagnetic interference intensity. Before the electrical and electronic products making market debut, all products must pass the electromagnetic interference testing. As the result, how to test transformer’s electromagnetic interference intensity is an important issue. Therefore, developing the testing method for transformer’s electromagnetic interference intensity: Turns Capacitance between Primary and Secondary (TCPS).
    Due to the structure of transformer is complicated and many uncontrollable factors, trial & error is the only way to predict TCPS. The engineers waste a lot of resources and times to test the TCPS value.
    This research use data mining to consider different factors in predicting TCPS value. Using statistics analysis to establish TCPS value prediction model in the process of design verification test reduces the times of trial & error. Therefore, the engineers could be more efficient in research and development, to increase the company’s profit.
    Appears in Collections:[工業管理研究所碩士在職專班 ] 博碩士論文

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