Project Title:
Application of Chemometric Methods for Prediction of moisture content in utility oil using Fourier Transform Infra RedProject Highlight:
Routine monitoring of transformer and lubricating oil quality is an essential activity for the power utility providers to ensure fault free and minimal disruption in operations. The Moisture content is conventionally determined using the Karl Fischer titration method. This method can be used to measure moisture as low as 10 ppm however, it is expensive, involving various solvents and time consuming. Fourier transform infrared has been developed as a rapid method for determination of moisture content in various applications, integrating multivariate approach particularly partial least squares regression. As a matter of fact, the multivariate approach has been programmed as software package to FTIR for on site and rapid determination of moisture in oil however the calibration is oil specific. Considering the numerous range of products available in the market, not all calibrations are readily accessible. Therefore this project attempts to develop the FTIR with integration of partial least squares approach for quantification of moisture in the lubricating and transformer oil commonly used locally. This project is on-going and a MSc student will be funded. Interested candidate may write in for enquiries.Researcher Contact Information:
SimSiong Fong
Faculty of Resource Science and Technology
Universiti Malaysia Sarawak
94300 Kota Samarahan
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Faculty of Resource Science and Technology
Universiti Malaysia Sarawak
94300 Kota Samarahan
