RESUMEN
The present paper considers synthetically all kinds of factors affecting excitation spectrum under traditional measurement conditions of fluorescence matter in liquor using plasma atomic emission spectra. The input power, carrier gas flow and assistant gas flow for BEC of Na, V, Al were optimized by testing. The input power, carrier gas flow and assistant gas flow for Na are 950 W, 0.6 L x min(-1) and 1.0 L x min(-1), respectively. The input power, carrier gas flow and assistant gas flow for V are 1 150 W, 0.5 and 1.1 L x min(-1), respectively. The input power, carrier gas flow and assistant gas flow for Al are 1 150 W, 0.6 and 1.0 L x min(-1), respectively. The result shows that the method is sensitive, accurate, linear in a wide range and highly precise. The precision is between 1.7%-2.2%, the linear ranges are between 0-100 mg x L(-1) and recoveries are between 96%-105%.
RESUMEN
The determination of the additive contents of marine lubrication oil by using atomic emission spectrometry is described. A new measuring method is suggested in accordance with the working principle of MOA atomic emission spectral instrument. The additive element contents, if not within the precision limits of MOA atomic emission spectra, are to be measured by being diluted with a standard oil. Error analysis is conducted and the calibration curve method is used. The testing result indicates that the RSD of Ca, P and Zn is 1.6%, 4.8% and 4.6% respectively, and the error result of oil sample before and after diluting is 4.21%, 6.99% and 5.09% respectively.
RESUMEN
This paper establishes a new mathematics model of fault diagnosis basis of oil spectrometric analysis by means of long time following up the mechanical equipment's lubrication oil. The characteristic parameter of oil spectrometric analysis has been confirmed using a new way that the laboratory experiment study and the mechanical equipment's lubrication oil spectrometric analysis are combined in order to confirm the time of fault and avoid serious fault. It will provide the academic and actual basis for RCM and enhance the dependability. The result of examples proves that the characteristic parameter of oil spectrometric analysis has very high stability and veracity. This method has been proved that it was effective in fault diagnosis basis of oil spectrometric analysis.
