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Research on marine diesel's fault prognostic and health management based on oil monitoring

机译:基于石油监测的海洋柴油机故障预测与健康管理研究

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摘要

Oil monitoring technology is an effective way to actualize condition based maintenance (CBM) for marine diesel, it can detect earlier failure symptoms, avoidance of fault taking place, it's one of the indispensable diagnostic technology applied in marine diesel's prognostic and health management (PHM). In this paper, according to oil spectral analysis data collected from continuous monitoring, a fault prognostic method based on statistical process control (SPC) for marine diesel was provided, which was taken main wearing elements' concentration gradient as quality characteristic index, it indicated that their exist special causes leading marine diesel's abrasion state out of statistical control, needing to find the root cause of the failure; and based on the oil spectral analysis data previously, projection pursuit (PP) approach was introduced to synthetic evaluation of marine diesel's performance degradation degree, then established the judgment criterion, it given an guidance to marine diesel's health management.
机译:石油监测技术是实现船舶柴油的条件维护(CBM)的有效途径,它可以检测早期的故障症状,避免发生故障,它是海洋柴油预后和健康管理中的不可或缺的诊断技术之一(PHM) 。本文根据连续监测收集的油光谱分析数据,提供了一种基于统计过程控制(SPC)的船用柴油的故障预后方法,将主要磨损元素的浓度梯度作为质量特征指数。他们存在特殊导致领先的海洋柴油的磨损状态统计控制,需要找到失败的根本原因;基于以前的石油谱分析数据,投影追求(PP)方法被引入了海洋柴油业绩劣化程度的综合评价,然后建立了判断标准,赋予海洋柴油卫生管理的指导。

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