Browsing RSS Feeds by Author "Xie, Min"
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An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit
Zhang, Mimi; Xie, Min (2017)Maintenance actions can be classified, according to their efficiency, into three categories: perfect maintenance, imperfect maintenance, and minimal maintenance. To date, the literature on imperfect maintenance is voluminous, ... -
A Bivariate Maintenance Policy for Multi-State Repairable Systems with Monotone Process
Zhang, Mimi; Xie, Min; Gaudoin, Olivier (2013)In this paper, a sequential failure limit maintenance policy for a repairable system is studied. The system is assumed to have states, including one working state and failure states, and the multiple failure states are ... -
A Condition-Based Maintenance Strategy for Heterogeneous Populations
Zhang, Mimi; Ye, Zhisheng; Xie, Min (2014)This paper develops a maintenance strategy, called inspection-replacement policy, to cope with heterogeneous populations. Burn-in is the procedure by which most of the defective products in a heterogeneous population can ... -
Degradation-Based Maintenance Using Stochastic Filtering for Systems under Imperfect Maintenance
Zhang, Mimi; Xie, Min; Gaudoin, Olivier (2015)The stationaryWiener process is widely used in modeling degradation processes, mainly due to the existence of an analytical expression of the first hitting time distribution. However, it is only appropriate for modelling ... -
Lower Confidence Limit for Reliability Based on Grouped Data with a Quantile Filling Algorithm
Zhang, Mimi; Hu, Qingpei; Xie, Min; Yu, Dan (2014)The purpose of this article is to derive a lower confidence limit for reliability given a grouped data set. This is done by using a quantile filling algorithm which generates pseudo failure data from grouped data. A general ... -
A Stochastic EM Algorithm for Progressively Censored Data Analysis
Zhang, Mimi; Ye, Zhi-Sheng; Xie, Min (2014)Progressive censoring technique is useful in lifetime data analysis. Simple approaches to progressive data analysis are crucial for its widespread adoption by reliability engineers. This study develops an efficient yet ...