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A Systematic and Practical Approach of Analyzing Offshore System Maintenance Data

机译:分析海上系统维护数据的系统和实用方法

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This paper presents a systematic methodology for analyzing the maintenance data of offshore system to gain insight about the system reliability performance and identify the critical factors influencing the performance. The study approach is based on problem and data-led rather than technique-driven. The results of trend test propose that the system under studied can be modeled using a simple Homogeneous Poisson process (HPP) where the failure rate is constant. Analyses of covariates are done using Kaplan Meier and Proportional hazards models. The results indicate that the preventive maintenance (PM) plus engine wash has a significance positive influence on the system failure distribution.
机译:本文提出了一种系统方法,用于分析海上系统的维护数据,以获得有关系统可靠性性能的洞察力,并确定影响性能的关键因素。研究方法基于问题和数据导向而不是技术驱动。趋势试验的结果提出了所研究的系统可以使用简单的均匀泊松过程(HPP)进行建模,其中故障率是恒定的。使用Kaplan Meier和比例危险模型进行协变者分析。结果表明,预防性维护(PM)加发动机洗涤对系统故障分布具有重要的积极影响。

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