Abstract
AbstractThis paper presents the results of a study that targeted identification of statistical methods to characterize the failure rates and related probability distributions of sea valves across a broad range of hull classes. Beginning with maintenance records from sea valve assessment, the paper demonstrates the application of various statistical tools and the related strengths and weaknesses of each. These tools involve maximum likelihood estimators, empirical methods, and hypothesized distributions. Using these methods, failure rates and confidence intervals are estimated and compared. Finally this information is combined to formulate a cohesive view that allows a high level of confidence in predicting sea valve failure. This paper demonstrates use of statistical models as a tool to validate and improve maintenance systems, costs, and strategic maintenance management programs.
Published Version
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