DocumentCode
3369806
Title
Optical analysis for condition based monitoring of oxidation degradation in lubricant oil
Author
Idros, M.F.M. ; Ali, Shady ; Islam, Md Shariful
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. MARA (UiTM), Shah Alam, Malaysia
Volume
2
fYear
2012
fDate
12-14 June 2012
Firstpage
735
Lastpage
740
Abstract
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.
Keywords
chemical engineering computing; condition monitoring; lubricating oils; oxidation; production engineering computing; regression analysis; EMF tool; absorbed infrared radiation; band location; carboxylic acid; condition based monitoring; degradation continuous stage; degradation limit; driving condition; embedded MATLAB function; hydrocarbon; lubricant oil; mileage interval; optical analysis; oxidation degradation; register transfer level; regression analysis; used engine oil; Algorithm design and analysis; Degradation; Engines; Lubricants; MATLAB; Monitoring; Oxidation; Embedded Matlab Function; Engine Oil; Regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4577-1968-4
Type
conf
DOI
10.1109/ICIAS.2012.6306110
Filename
6306110
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