A Chromatographic Recognition Algorithm Based on Adaptive Threshold in Substation

According to the requirement of gas chromatography identification in transformer oil of substation, an adaptive threshold chromatographic identification algorithm is designed. Traditional first derivative method only uses slope threshold to recognize chromatographic peaks, so the degree of automation is low and it is easy to be distorted. In view of these shortcomings, this paper improves the first derivative method. Based on the data pre-processing and peak identification algorithm, the appropriate threshold is determined, and the peaks are identified by combining the peak curves and the characteristics of the standard gas. Since the threshold parameter of the algorithm can be fixed, the overlapping peak detection is less affected by human influence, and further improves the accuracy of chromatographic identification.