Accelerated Life Test Data Analysis for Repairable Systems |
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Authors: | Won Young Yun Eun Suk Kim Ji Hwan Cha |
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Institution: | 1. Department of Industrial Engineering , Pusan National University , Busan , Korea wonyun@pusan.ac.kr;3. Department of Industrial Engineering , Pusan National University , Busan , Korea;4. Division of Mathematical Sciences , Pukyong National University , Busan , Korea |
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Abstract: | In this article, the imperfect maintenance model and proportional intensity model are used to analyze failure data of repairable systems in accelerated life testing. In the design and development phase of products, we should collect and analyze failure data quickly with small proto-type products. Thus, we test the products under accelerated conditions and if the products fail, then we repair and use those continuously in the life testing. Acceleration and repair models are needed to analyze the failure data. An age reduction model (Brown et al.'s Brown et al. 1983
Brown , J. F. ,
Mahoney , J. F. ,
Sivazlian , B. D. ( 1983 ). Hysteresis repair in discounted replacement problems . IIE Trans. 15 : 156 – 165 . CSA] Taylor & Francis Online], Web of Science ®] , Google Scholar], model) and relationship between scale parameter and stress level are assumed. The stress acts multiplicatively on the baseline cumulative intensity. The maximum likelihood method is used, the log-likelihood function is derived, and a maximizing procedure is proposed. In simulation studies, we investigate the accuracy and trends of the maximum likelihood estimator. |
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Keywords: | Accelerated life test BMS's model Genetic algorithm Log-likelihood Maximum likelihood estimation Repairable system |
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