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題 名 | 有效率之抽樣法運用於CD-RW重覆讀寫度測試=An Efficient Sampling for Cycliability Test of CD-RW |
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作 者 | 陳啟斌; 林進財; 張幸宜; 史珊琦; 劉振權; | 書刊名 | 管理與系統 |
卷 期 | 8:1 2001.01[民90.01] |
頁 次 | 頁79-95 |
分類號 | 471.6525 |
關鍵詞 | 抽樣; 壽命測試; 逐次抽樣法; 逐次抽樣機率比; 重覆讀寫度; 可重覆讀寫光碟; Sampling; Life testing; Sequential test; Sequential probability ratio test; Cycliability; Compact disc-rewrittable; CD-RW; |
語 文 | 中文(Chinese) |
中文摘要 | 對於可重覆讀寫光碟(Compact Disc-Rewrittable:CD-RW)之重覆讀寫壽命(又稱重覆讀寫度;Cycliability)測試,做全數測試不但費時且浪費成本,此種測試為破壞性測試且需花約2.5天/片。本文之研究重點在於推導出CD-RW重覆讀寫度測試,在生產線上每次抽樣測試所需之間隔批量大小(l)及每次抽樣樣本數(n)。逐次抽樣法被使用於本文之目的在於減少n值。而逐次抽樣法之往下單向規格的決定是根據逐次抽樣機率比、α與β(即型I和型II誤差之風險機率)、可重覆讀寫度(或燒錄)次數(t)、可重覆讀寫次數之公差(T)及測試重覆讀寫度母全體之標準差(σ)等。此單向規格可以用來決定CD-RW之重覆讀寫度所需之n值。理論上,逐次抽樣法之平均樣本數(ANSS)亦可由上述之α,β,t,T及σ而求得。另外,本文依據卡方分配之自由度、(1-σ)信賴水準及樣本變異S2來決定出其估計母體變異數σ2之範圍(即Estimated Range ofσ2;ERσ2)。並利用卡方近似值反函數式在不同信賴水準下,v = (m – 1),ERσ2與n之關係來推導出在生產線上抽樣時所需之抽樣間隔批量大小值。 |
英文摘要 | 100% of Compact Disc-Rewrittable (CD-RW) life testing (or cycliability testing) is time-consuming and costly. Since this kind of testing is a destructive test and need spend 2.5 ~ 3 days/piece. Therefore, the research focus is to derive the intermittent batch sizes (l) and sample sizes (n) in the production line for every cycliability testing of CD-RW. It is noted that sequential test method reduces the sample sizes, n, greatly. A downward specification of sequential tests based on the sequential probability ratio test, risk levels of α andβ (ie., Type I and Type II error), estimated written-counts, t, of CD – RW, and the tolerance, T, of written-count, and the population standard deviation, α, of written-count have been applied to determine the sample sizes, n, for cycliability test of CD-RW. Theoretically, the average number of sample sizes (ANSS) for sequential test required determining the cycliability of CD-RW has also been derived based onα, β, t, T andσ. Furthermore, the degree of freedom in chi-square distribution, (1 –σ) level of confidence and sampling variance S2 have been used to determine the estimated range ofσ2 (ERσ2). An inverse chi-square approximation have also been used to determine the relationship between v = (m – 1), ERσ2 and n at different levels of confidence to determine the batch sizes, l, in a production line. |
本系統中英文摘要資訊取自各篇刊載內容。