Optical analysis for condition based monitoring of oxidation degradation in lubricant oil

This paper presents the optical analysis of transmittance variation in lubricant oil due to the oxidation by using Embedded MATLAB Function (EMF) tools. Recently, the increasing amount of used engine oil is due to the car's manufacturer that recommended users to change their engine oil at a con...

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Published in:ICIAS 2012 - 2012 4th International Conference on Intelligent and Advanced Systems: A Conference of World Engineering, Science and Technology Congress (ESTCON) - Conference Proceedings
Main Author: Idros M.F.M.; Ali S.; Islam M.S.
Format: Conference paper
Language:English
Published: 2012
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867964427&doi=10.1109%2fICIAS.2012.6306110&partnerID=40&md5=aa7cb8d91f7e83af77815e18010295c5
id 2-s2.0-84867964427
spelling 2-s2.0-84867964427
Idros M.F.M.; Ali S.; Islam M.S.
Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
2012
ICIAS 2012 - 2012 4th International Conference on Intelligent and Advanced Systems: A Conference of World Engineering, Science and Technology Congress (ESTCON) - Conference Proceedings
2

10.1109/ICIAS.2012.6306110
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867964427&doi=10.1109%2fICIAS.2012.6306110&partnerID=40&md5=aa7cb8d91f7e83af77815e18010295c5
This paper presents the optical analysis of transmittance variation in lubricant oil due to the oxidation by using Embedded MATLAB Function (EMF) tools. Recently, the increasing amount of used engine oil is due to the car's manufacturer that recommended users to change their engine oil at a constant time or according to mileage interval. This will make a possibility of substantial increases of used engine oil because it changed more frequently than necessary. Therefore, a condition based technique is introduced to monitor the oxidation in lubricant engine oil by using EMF. Band location of 1050-1250cm 1 and 1700-1730cm 1 were identified as the most amount of absorbed infrared radiation by carboxylic acid and hydrocarbon as the degradation was increased. The degradation has been limited to the percentage reduction from the new oil by three different categories as a different kind of driving condition. By applying a regression analysis in EMF, the result shows that the slopes of degradation at a continuous stage of degradation were influencing the prediction of degradation limit. The written algorithm in EMF is potentially developed in Register Transfer Level (RTL) for further application. © 2011 IEEE.


English
Conference paper

author Idros M.F.M.; Ali S.; Islam M.S.
spellingShingle Idros M.F.M.; Ali S.; Islam M.S.
Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
author_facet Idros M.F.M.; Ali S.; Islam M.S.
author_sort Idros M.F.M.; Ali S.; Islam M.S.
title Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
title_short Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
title_full Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
title_fullStr Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
title_full_unstemmed Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
title_sort Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
publishDate 2012
container_title ICIAS 2012 - 2012 4th International Conference on Intelligent and Advanced Systems: A Conference of World Engineering, Science and Technology Congress (ESTCON) - Conference Proceedings
container_volume 2
container_issue
doi_str_mv 10.1109/ICIAS.2012.6306110
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867964427&doi=10.1109%2fICIAS.2012.6306110&partnerID=40&md5=aa7cb8d91f7e83af77815e18010295c5
description This paper presents the optical analysis of transmittance variation in lubricant oil due to the oxidation by using Embedded MATLAB Function (EMF) tools. Recently, the increasing amount of used engine oil is due to the car's manufacturer that recommended users to change their engine oil at a constant time or according to mileage interval. This will make a possibility of substantial increases of used engine oil because it changed more frequently than necessary. Therefore, a condition based technique is introduced to monitor the oxidation in lubricant engine oil by using EMF. Band location of 1050-1250cm 1 and 1700-1730cm 1 were identified as the most amount of absorbed infrared radiation by carboxylic acid and hydrocarbon as the degradation was increased. The degradation has been limited to the percentage reduction from the new oil by three different categories as a different kind of driving condition. By applying a regression analysis in EMF, the result shows that the slopes of degradation at a continuous stage of degradation were influencing the prediction of degradation limit. The written algorithm in EMF is potentially developed in Register Transfer Level (RTL) for further application. © 2011 IEEE.
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