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Vol. 17, Special Issue, December 2012, pp. 125-134

 

Selected papers from the 4th International Conference on Intelligent & Advanced Systems (ICIAS' 2012),

12-14 June 2012, Malaysia, Kuala Lumpur

 

Bullet

 

Capability of Optical Approach in Condition Based Monitoring of Lubricant Oil
 

1, 2 M. F. M. Idros, 1 Hadzli Hashim, 3 Md. Shabiul Islam, 2 Sawal Hamid Ali

1 Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM)

40450 Shah Alam, Malaysia

2 Department of Electrical, Electronics & System Engineering

3 Institute of Microengineering and Nanoelectronics (IMEN)

Universiti Kebangsaan Malaysia (UKM)

43600 UKM, Bangi, Malaysia

E-mail: faizul_san287@salam.uitm.edu.my, sawal@vlsi.eng.ukm.my, shabiul@ukm.my

Digital Sensors and Sensor Sysstems

 

Abstract: This paper presents the optical capability in monitoring the variation of light transmittance in the lubricant oil due to the oxidation by using Embedded MATLAB Function (EMF) tools. Recently, the increasing amount of used engine oil has been 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 of lubricating engine oil by using EMF. By applying the regression analysis in EMF, the result shows that the slopes varied according to the degradation trends. Therefore, the capability of optical with combination of embedded tools to predict the degradation lifetime has been proven as compared to the others work that only analyzed the degraded condition without predict the future condition.

 

Keywords: Engine oil, Degradation, Regression, Embedded Matlab function

 

 

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