Logic Design for Linear Regression Model Using ASIC in Engine Oil Degradation Monitoring System

Abstract

A degradation analysis in automotive engine oil is concerned with the unrespectable cost of equipment for data storage. System-on-Chip gives possible cost effective in reducing the bulky equipment and reliance on labor. This article discusses a new technique of degradation monitoring where an engine oil degradation model is used and translated into the logic gate based on the Least Square Method of statistical analysis. The degradation model is based on the optical properties where the percentage transmittance of light is varied due to the increase of contaminates contents in the engine oil at a certain period. A linear regression model is chosen in register-transfer level (RTL) development of the digital circuit design. In the algorithm development, the data set are collected at every one hour up to 300 hours and stored in a temporary register. Linear regression is implemented at every 5 data to obtain the degraded condition based on the variation of the slope.