摘要
以连续监测收集的油液光谱数据为依据,提出了基于统计过程控制(SPC)的船舶柴油机故障预测方法,将主要磨损元素的质量浓度梯度作为质量特性指标,运用SPC技术对各质量特性进行了统计分析.结果表明,此船舶柴油机可能存在异常因素而导致磨损状态处在统计控制之外,需要查找故障的根源;并基于上述获得的油液监测数据,利用投影寻踪(PP)方法对此船舶柴油机整机性能退化程度进行了综合评定,制定了相应的评判标准.
In this paper,according to oil spectral analysis data collected from continuous monitoring,a fault prognostic method based on statistical process control（SPC）was provided,which was taken marine diesel＇s main wearing elements＇ concentration gradient as quality characteristic index,it indicated that their existed special causes resulting 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 the whole marine diesel＇s performance degradation degree,then established the judgment criterion,it given an effective guidance to marine diesel＇s health management.
出处
《武汉理工大学学报（交通科学与工程版）》
2014年第4期874-877,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
油液监测
视情维修
预测与健康管理
统计过程控制
投影寻踪
oil monitoring
condition based maintenance（CBM）
prognostic and health management（PHM）
statistical process control（SPC）
projection pursuit（PP）
