Evaluation on the Performance of Lubricating Oil Based on Principal Component Analysis and Notability Analysis

Testing by RDE type AE spectrometer for wear metal analysis, the performance of lubricating oil was studied based on Principal Component Analysis and Notability Analysis. Wear particle debris derived from a Diesel engine components, coolant additives and seawater were added into hydraulic oils and diesel engine oils including CD40 and CF40. Thirty-three blend oils were obtained and analyzed by Spectroil M Instrument made in U. S. American which is the most employed method for wear element determination at present. Principal Component Analysis (PCA) was applied to analyzing Ba, P, Zn additive elements in 33 oil samples and clustering oil samples perfectly based on principal component scores. Thus 117 oil routine samples divided into four different lubricating oils A, B, C and D by the same method. Based on notability analysis Fe, Cr, Pb, Cu, Al spectrometric oil data from same and different lubricating oils were analyzed. The results indicate that lubricating oils B and D hold the most effective performance of resisting wear with insignificant difference, lubricating oil C takes a second place while lubricating oil A performs worst.