Wavelet-based baseline correction optimization algorithm for SF6 spectral signal

SF6 gas is widely used in various power equipment. In this paper, a baseline correction algorithm based on spectral detection method based on optimal wavelet basis is proposed. The algorithm selects the optimal wavelet base, removes the strong spectrum information by threshold method, eliminates the influence of continuum fitting, and performs the least squares fitting on the residual signal to obtain the continuum, and removes the continuum from the original spectrum to obtain the required Line spectrum. The accuracy of the quantitative analysis of the line spectrum intensity after processing is greatly improved, and the baseline is effectively estimated and corrected, and the fitting accuracy is higher than the traditional iterative wavelet baseline correction algorithm.