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中山大學(xué)管理學(xué)院科研論文丨張才文副教授發(fā)表一A重要核心期刊論文

中山大學(xué)管理學(xué)院
2021-01-29 20:50 瀏覽量: 4423
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Weibull parameter estimation and reliability analysis with zero-failure data from high-quality products

秉承“融匯中西管理智慧、培養(yǎng)創(chuàng)業(yè)創(chuàng)新精神、踐行服務(wù)社會(huì)責(zé)任、作育商界管理精英”的使命,中山大學(xué)管理學(xué)院扎根于中國(guó)情境,致力于管理理論創(chuàng)新及管理實(shí)踐的研究。近年來(lái),中山大學(xué)管理學(xué)院科研成果豐碩,高水平論著持續(xù)涌現(xiàn)。

教師姓名:張才文 副教授

論文題目:Weibull parameter estimation and reliability analysis with zero-failure data from high-quality products

刊物名稱:Reliability Engineering and System Safety

期刊卷期數(shù):2020年online

所有作者:Cai Wen Zhang

學(xué)校類別:一A重要核心期刊論文

論文摘

This paper deals with an old and fundamental problem in reliability—estimation of Weibull parameters and reliability with zero-failure data. Because the maximum likelihood estimation is no longer applicable, the conventional method uses the 50% confidence limit as a point estimator for the Weibull scale parameter. However, since this method was proposed several decades ago, little progress has been made on the solution to this fundamental problem. New estimation techniques are developed in this study. In contrast to those Bayesian methods found in the literature which usually leverage historical data and/or technical knowledge, the new methods do not require prior information. In particular, an unbiased estimator for the Weibull scale parameter is discovered for the first time, which is demonstrated to have much better statistical performance than the conventional estimator as well as other new estimators proposed in this study. The unbiased estimator also provides significant new insights into the problem under study. An efficient confidence interval is also derived for the Weibull scale parameter, which is demonstrated through simulation to have satisfactory coverage probabilities.

教師簡(jiǎn)介

ZHANG, Cai Wen is an associate professor of management science at theSchoolof Business , Sun Yat-sen University, Guangzhou, China. He received his PhD from the National University of Singapore, specializing in quality engineering and management. Prior to joining Sun Yat-sen Business School, Dr. Zhang worked for five years as a statistical consultant for Hitachi Global Storage Technologies (Singapore). He has published papers in international peer-reviewed journals including

編輯:煊彧

(本文轉(zhuǎn)載自中山大學(xué)管理學(xué)院公眾號(hào) ,如有侵權(quán)請(qǐng)電話聯(lián)系13810995524)

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