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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/3838

    Title: 降低交換式電源供應器重要熱源零件溫升之研究
    Authors: 楊素芬
    Keywords: 參數設計;田口方法;倒傳遞類神經網路;基因演算法;指數型理想函數;主成份分析;因素分析;品質改善
    Quality improvement;Parameter design;Switch power supply;Taguchi method;Backpropagation Neural Network;Genetic algorithms;Desirability functions;Factor analysis;Principle component analysis
    Date: 2003
    Issue Date: 2007-04-18 16:36:41 (UTC+8)
    Publisher: 臺北市:國立政治大學統計學系
    Abstract: 為了提升競爭優勢與生產能力,並進而達到永續經營的目的,突破現況、持續改善產品品質、降低產品成本與服務成本則成為提昇競爭力的重要因素之一,因此產品在設計開發階段就必需要考量品質與成本的問題。本研究以電源轉換器為對象。該電源轉換器目前已設計完成且已通過美國 UL 安規認證,並已在國內量產銷售,但因為該電源轉換器的溫升及其變異很大,仍然會導致該產品的壽命過短,因此降低電源轉換器的溫升及其變異是一急需解決的問題。利用田口與實驗設計的方法規劃及進行實驗並收集數據,再以十二種分析方法 (包括:田口方法、主成份分析、主成份+倒傳遞類神經網路+基因演算法、主成份灰關聯+倒傳遞類神經網路+基因演算法、指數型理想函數+倒傳遞類神經網路+基因演算法、MSE 方法、MSE 方法+倒傳遞類神經網路+基因演算法、 SUM 方法、SUM 方法+倒傳遞類神經網路+基因演算法、重要零件加總法、重要零件加總法+倒傳遞類神經網路+基因演算法 )對實驗數據進行分析,以決定各分析方法下之最適外部零件組合,再對各最適外部零件組合做確認實驗。最後決定再現性最佳之最適外部零件組合。最適外部零件組合的確認實驗數據分析發現雖然平均溫升下降的程度不大,然而大部份量測點的溫升標準差都顯著變小。因此本研究在降低該電源轉換器溫升變異的效果十分顯著。對於電源轉換器的生產者而言,品質提升就是提升銷售量的保證。因此本研究所決定的最適因子水準組合,雖在成本上有極些微的增加,但品質改善後之產品將可為生產者帶來更多有形與無形之利益。
    The sales of switching power supply are competitive in the world. In order to meet the temperature requirement of CNS of Ministry of Economic Affairs and customers' satisfaction for the produced switch power supply. One key and poor quality characteristic---temperature has to be improved. That is, to reduce the average temperature, and its variation, and meet the required specifications. The research about the quality improvement using quality technology or knowledge on temperature has not been addressed. Hence our research would have some contribution in reality and academic study. We collect data to study the current power on temperature, and study the effect of length, material type, and thinner of silicon rubber, the location of holes, pattern type of holes and number of holes on case, and the type and size of heatsik on the temperature of IC, T1, and D7 parts by analyses of Desirability functions, Factor analysis, Principle component analysis and multivariate analysis of variance. Then, a matrix experiment is performed to collect data and analyses using 12 approaches to determine the optimal combination of the thinner of silicon rubber, pattern of holes, and size of heatsik. Confirmation experiments are performed by evaluating some better treatments. Under the best treatment, the temperature of power is lower, its variation is significantly much lower and only with $0.014 increased cost compared with the current power. The quality of the best treatment can significantly improve the quality of power and reduce the loss, and the analysis methods and operation procedures will be standardized. We predict the sale amount of the powers and its market will be increased significantly in the future.
    Description: 核定金額:306700元
    Data Type: report
    Appears in Collections:[統計學系] 國科會研究計畫

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