Vehicle service date prediction system using lubricant viscosity degradation pattern

A.J.M Dayawantha, I. Premaratne
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引用次数: 2

Abstract

Vehicle maintenance is a very important subject in using vehicles and proper maintenance directly affects to its longevity. This research was done to identify the real condition of a vehicle to service that vehicle on time with a service date prediction system. Engine oil ageing has been selected as the most affecting parameter to the service requirement. The viscosity of engine oil has been selected as the measurement of engine oil ageing. From the linear regression, the engine oil degradation pattern is predicted and thereby identified the next service date advancements. The driver is informed by alert system to remind the remaining days to the next service date.
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基于润滑油粘度退化模式的车辆服役日期预测系统
车辆保养是车辆使用中一个非常重要的课题,保养得当直接影响到车辆的使用寿命。本研究利用服务日期预测系统来识别车辆的真实状况,以便按时对该车辆进行服务。机油老化是影响发动机使用要求的主要参数。选用机油粘度作为衡量机油老化的指标。通过线性回归,预测了发动机润滑油的退化模式,从而确定了下一个使用日期的提前。驾驶者会收到警报系统的通知,提醒他们离下一个服务日期还有剩余的日子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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