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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳文方(Wen-Fang Wu) | |
dc.contributor.author | Hsiang-En Peng | en |
dc.contributor.author | 彭祥恩 | zh_TW |
dc.date.accessioned | 2021-06-08T06:56:59Z | - |
dc.date.copyright | 2009-07-24 | |
dc.date.issued | 2009 | |
dc.date.submitted | 2009-07-20 | |
dc.identifier.citation | 參考文獻
Aven, T., & Jensen, U. (1999). Stochastic models in reliability: Springer. Bagdonavicius, V., & Nikulin, M. S. (2002). Accelerated life models: modeling and statistical analysis: CRC Press. Chhikara, R. S., & Folks, L. (1989). The inverse Gaussian distribution: theory, methodology, and applications: CRC Press. Chou, K., & Tang, K. (1992). Burn-in Time and Estimation of Change-Point with Weibull-Exponential Mixture Distribution*. Decision Sciences, 23(4), 973-990. Cinlar, E. (1980). On a generalization of gamma processes. Journal of Applied Probability, 467-480. Doksum, K. A., & Hoyland, A. (1992). Models for variable-stress accelerated life testing experiments based on Wiener processes and the inverse Gaussian distribution. Technometrics, 74-82. Freitas, M. A., de Toledo, M. L. G., Colosimo, E. A., & Pires, M. C. (2008). Using degradation data to assess reliability: a case study on train wheel degradation. Quality and Reliability Engineering International. Haitao, L., & Elsayed, E. A. (2005). Optimization of system reliability robustness using accelerated degradation testing. Paper presented at the Reliability and Maintainability Symposium, 2005. Proceedings. Annual. Jensen, F., & Petersen, N. E. (1982a). Burn-in, An Engineering Approach to Design and Analysis of Burn-in Procedures: New York: John Wiley & Sons, Inc. Jensen, F., & Petersen, N. E. (1982b). Burn-in: an engineering approach to the design and analysis of burn-in procedures: Wiley New York. Kim, T., & Kuo, W. (1998). Optimal burn-in decision making. Quality and Reliability Engineering International, 14(6). Kirkpatrick, S. (1984). Optimization by simulated annealing: Quantitative studies. Journal of Statistical Physics, 34(5), 975-986. Kuo, W., & Kuo, Y. (1983). Facing the headaches of early failures: a state-of-the-art review of burn-in decisions. Proceedings of the IEEE, 71(11), 1257-1266. Lawless, J., & Crowder, M. (2004). Covariates and random effects in a gamma process model with application to degradation and failure. Lifetime Data Analysis, 10(3), 213-227. Leemis, L. M., & Beneke, M. (1990). Burn-in models and methods: a review. IIE Transactions, 22(2), 172-180. Liao, H., & Elsayed, E. A. (2005). Optimization of system reliability robustness using accelerated degradation testing. Meeker, W. Q., & Escobar, L. A. (1998). Statistical methods for reliability data. Meeker, W. Q., Escobar, L. A., & Lu, C. J. (1998). Accelerated degradation tests: modeling and analysis. Technometrics, 89-99. Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953). Equation of state calculations by fast computing machines. The journal of chemical physics, 21(6), 1087. Mitsuo, F. (1991). Reliability and Degradation of Semiconductor Lasers and LED. Norwwood: Artech House. Nelson, W. (1990). Accelerated Testing: Statistical Models, Test Plans, and Data Analyses, 1990: John Wiley & Sons. Nguyen, D. G., & Murthy, D. N. P. (1982). Optimal burn-in time to minimize cost for products sold under warranty. IIE Transactions, 14(3), 167-174. Padgett, W. J., & Tomlinson, M. A. (2004). Inference from accelerated degradation and failure data based on Gaussian process models. Lifetime Data Analysis, 10(2), 191-206. Park, C., & Padgett, W. J. (2005). Accelerated degradation models for failure based on geometric Brownian motion and gamma processes. Lifetime Data Analysis, 11(4), 511-527. Patrick, D. T., Newton, D., & Bromley, R. (2002). Practical reliability engineering: Wiley Chichester. Shuster, J. (1968). On the inverse Gaussian distribution function. Journal of the American Statistical Association, 1514-1516. Singpurwalla, N. D. (1995). Survival in dynamic environments. Statistical Science, 86-103. Tseng, S. T., Hamada, M., & Chiao, C. H. (1995). Using degradation data to improve fluorescent lamp reliability. Journal of Quality Technology, 27(4), 363-369. Tseng, S. T., Tang, J., & Ku, I. H. (2003). Determination of burn-in parameters and residual life for highly reliable products. Naval Research Logistics, 50(1). Whitmore, G. A. (1995). Estimating degradation by a Wiener diffusion process subject to measurement error. Lifetime Data Analysis, 1(3), 307-319. Yun, W. Y., Lee, Y. W., & Ferreira, L. (2002). Optimal burn-in time under cumulative free replacement warranty. Reliability Engineering and System Safety, 78(2), 93-100. 工研院2008年產業報告,網址:http://www.tisc.com.tw/new/newreport/monthly/upload/monthly20081201-17 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25914 | - |
dc.description.abstract | 電子產品可靠度一直為大家所重視的問題,雖電子產品出廠前,可能會實施一些測試,然而可靠度其實很難透過簡單的測試而得知。猶如其他產品,電子產品通常也存有隨時間衰退的品質特性,並可藉由加速衰退測試推估其失效率與平均失效時間。過往雖有部分學者提出以Wiener過程(Wiener Process)建構電子產品的衰退路徑並作相關的統計推論,但卻鮮少以實例驗證其數學模式,也少有人將其結論延伸至產品預燒相關的分析。本研究以某廠商所生產的通訊用連接器為案例,依其實際測試數據,以Wiener過程建構產品的衰退路徑,作為分析此產品可靠度的基礎,最後再以統計推論方法,探討產品的預燒問題。經由案例分析,我們驗證本文所建構以Wiener過程為基礎的分析模式確可應用於電子產品的可靠度分析與預燒時間評估。以本文所探討的特別案例而言,我們發現此型連接器的失效機率服從逆高斯分佈,其平均失效時間為92,340小時,在最小化總成本的條件考量及其他合理的假設下,其最佳預燒時間則為25.62小時。 | zh_TW |
dc.description.abstract | The reliability of electronic products has long been an important subject to both manufacturers and customers. Although tests may be conducted before the delivery of a product, but in actuality it is difficult to assess the product's reliability by simple testing. Like other products, electronic products usually contain quality characteristics which degrade over time, and we can use this property to conduct certain accelerated degradation tests to assess their failure rates and mean times to failure. In the past, several researchers have applied Wiener process to model typical degradation paths and used statistic inferences to evaluate the reliability of electronic products. However, most of them did not take real examples into consideration. Neither did they use statistic inferences to propose an appropriate burn-in procedure for products. In the present study, the accelerated test result of a certain type of hard metric connector provided by a manufacturer is used as a demonstrative example. Based on real data, Wiener process is applied to construct the degradation path of the connector as a basis for further assessing its reliability. Statistic inference is then used to study the burn-in subject. It is found from analyzing the real data, the procedure of assessing the reliability and burn-in time of electronic products based on Wiener process is applicable. In particular, for the studied connector, its failure time is found to follow an inverse Gaussian distribution and its mean time-to-failure is 92,340 hours. Under considerations of minimal cost and other reasonable assumptions, the optimal burn-in time of the connector is found to be 25.62 hours. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T06:56:59Z (GMT). No. of bitstreams: 1 ntu-98-R96546020-1.pdf: 633367 bytes, checksum: e3af47c2737b38cac924ef22225b7830 (MD5) Previous issue date: 2009 | en |
dc.description.tableofcontents | 誌謝 I
摘要 II Abstract III 目錄 IV 圖目錄 VI 表目錄 VII 符號說明 VIII 第一章 緒論 1 1.1 研究背景與動機 1 1.2 文獻回顧 2 1.3 研究方法 5 1.4 研究限制 6 1.5 研究流程 7 1.6 論文架構 8 第二章 加速衰退模型 9 2.1 加速衰退模型的涵義 9 2.2 衰退模型 10 2.3 加速因子 13 第三章 產品可靠度評估 15 3.1 失效機率分佈 15 3.1.1 失效機率與可靠度函數 15 3.1.2 平均失效時間 17 3.1.3 平均殘餘壽命 18 3.2 預燒模式評估 19 3.2.1 預燒涵義 19 3.2.2 預燒模式目標 20 3.2.3 預燒成本 21 3.2.4 限制條件 23 3.3 模擬退火法 23 3.3.2 退火的物理過程 24 3.3.3 演算程序 25 第四章 數值案例 26 4.1 加速衰退試驗 27 4.2 資料分析 29 4.2.1 可靠度分析 29 4.2.2 預燒模式分析 37 4.2.3 模擬退火法求解 38 第五章 結論與建議 40 5.1 結論 40 5.2 建議 41 參考文獻 42 附錄A Wiener過程首次通過之時間機率分佈 44 | |
dc.language.iso | zh-TW | |
dc.title | 以Wiener Process探討電子產品之可靠度 | zh_TW |
dc.title | Application of Wiener Process to the Reliability Analysis of Electronic Products | en |
dc.type | Thesis | |
dc.date.schoolyear | 97-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 王銘宗,徐堯 | |
dc.subject.keyword | 加速衰退測試,衛納過程,可靠度,預燒, | zh_TW |
dc.subject.keyword | Accelerated Degradation Testing,Wiener Process,Reliability,Burn-in, | en |
dc.relation.page | 45 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2009-07-21 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
顯示於系所單位: | 工業工程學研究所 |
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