Vehicle service date prediction system using lubricant viscosity degradation pattern

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.