Logic design for linear regression model using ASIC in engine oil degradation monitoring system

Logic design for linear regression model using ASIC in engine oil degradation monitoring system

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...

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Published in:Journal of Telecommunication, Electronic and Computer Engineering
Main Author: Idros M.F.M.; Razak A.H.A.; Azmi M.F.; Suliman S.I.; Halim A.K.; Khairudin N.
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032792143&partnerID=40&md5=d31550dfb40cc2384c8050cc9a2736cb
id 2-s2.0-85032792143
spelling 2-s2.0-85032792143
Idros M.F.M.; Razak A.H.A.; Azmi M.F.; Suliman S.I.; Halim A.K.; Khairudin N.
Logic design for linear regression model using ASIC in engine oil degradation monitoring system
2017
Journal of Telecommunication, Electronic and Computer Engineering
9
2-Aug

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032792143&partnerID=40&md5=d31550dfb40cc2384c8050cc9a2736cb
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.
Universiti Teknikal Malaysia Melaka
21801843
English
Article
author Idros M.F.M.; Razak A.H.A.; Azmi M.F.; Suliman S.I.; Halim A.K.; Khairudin N.
spellingShingle Idros M.F.M.; Razak A.H.A.; Azmi M.F.; Suliman S.I.; Halim A.K.; Khairudin N.
Logic design for linear regression model using ASIC in engine oil degradation monitoring system
author_facet Idros M.F.M.; Razak A.H.A.; Azmi M.F.; Suliman S.I.; Halim A.K.; Khairudin N.
author_sort Idros M.F.M.; Razak A.H.A.; Azmi M.F.; Suliman S.I.; Halim A.K.; Khairudin N.
title Logic design for linear regression model using ASIC in engine oil degradation monitoring system
title_short Logic design for linear regression model using ASIC in engine oil degradation monitoring system
title_full Logic design for linear regression model using ASIC in engine oil degradation monitoring system
title_fullStr Logic design for linear regression model using ASIC in engine oil degradation monitoring system
title_full_unstemmed Logic design for linear regression model using ASIC in engine oil degradation monitoring system
title_sort Logic design for linear regression model using ASIC in engine oil degradation monitoring system
publishDate 2017
container_title Journal of Telecommunication, Electronic and Computer Engineering
container_volume 9
container_issue 2-Aug
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032792143&partnerID=40&md5=d31550dfb40cc2384c8050cc9a2736cb
description 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.
publisher Universiti Teknikal Malaysia Melaka
issn 21801843
language English
format Article
accesstype
record_format scopus
collection Scopus
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