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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/75312

    Title: Piecewise monitoring of nonlinear profiles using a multiple response linear model
    Authors: Tsai, Tzong-Ru;Chang, Shing-I;Chou, Shih-Hsiung;Lin, Yu-Siang
    Contributors: 淡江大學統計學系
    Keywords: Statistical process control;Monitoring;profile monitoring
    Date: 2012
    Issue Date: 2012-03-19 16:49:11 (UTC+8)
    Publisher: Toroku: ICIC International
    Abstract: The air temperature often declines nonlinearly in the cool-down stage of a curing process. This nonlinear decline is correlated to the cosmetic quality of the high-pressure hose products. However, it is difficult to model nonlinear profiles for effective statistical process control. In this paper, a novel and simple monitoring procedure is proposed to monitor nonlinear air temperature profiles through a simple piecewise method. A general statistical model is built based on the statistics generated from crucial profile segments. An algorithm is developed to implement the proposed method.
    Relation: ICIC Express Letters 6(1), p.193-198
    Appears in Collections:[統計學系暨研究所] 期刊論文

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