FTIR Determination of Moisture in Aviation Lubricants with the Algorithms of GA and BP-ANN

In fourier transform infrared spectrometric (FTIR) determination of content of moisture in aviation lubricants, the algorithm of genetic algorithms (GA) was applied to the select of a few points of significant wave and the algorithm of back propagation-artificial network (BP-ANN) was applied to presumptive calculation of moisture. Value of correlation coefficients of the model was achieved to 0.957, and the square errors of prediction (SEP) was 0.022. The proposed method was used in the forecast of a certain type of aviation lubricants on randomly selected, and the paired t-test was used in the test of predicted values. It was found that there was no significant difference between the standard method and IR quantitative analysis. The model can be used for the determination of moisture in aviation lubricants.