Abstract
Dispersive fiber-optic Raman spectroscopy utilizing CCD detection and near-IR DBR diode laser excitation is used to remotely analyze 205 petroleum fuels of varying composition for pump octane number, motor octane number (MON), research octane number (RON), and Reid vapor pressure (RVP). Partial least squares regression analysis in tandem with several preprocessing techniques was used to model pump octane, MON, RON, and RVP using 130 selected fuels for the training set. The resulting leave-one-out determined standard error of validation (SEV) values for the mean centered data are 0.542, 0.761 and 0.434 octane units, and 0.740 psi, for pump, RON, MON, and RVP, respectively. The remaining 75 samples were used as a test to further validate the models. For the test set, the standard errors (SE) for the mean centered data are 0.586, 0.773 and 0.492 octane units, and 0.869 psi, for pump, RON, MON, and RVP, respectively.
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