Abstract：Surface roughness of diaphragm gas valve fitting face determines its mechanical and physical properties. In order to speed up the evaluation of surface roughness, the fast convolution algorithm of Gaussian filter was derived based on the symmetry of Gauss function. With the means of spectral confocal sensor scanning surface profile of workpiece, the advantages and disadvantages of linear Gaussian filtering, regression Gaussian filtering and robust Gaussian filtering were compared. The results indicate that new robust Gaussian filter can not only solve the problem of boundary distortion, but also eliminate the effects of valley or peak abnormal signals. The evaluation accuracy of surface roughness has been improved.
胡佳成，崔廷，王禅援，沈小燕，李东升. 燃气表气阀配合面表面粗糙度稳健高斯算法[J]. 计量学报, 2014, 35(5): 420-424.
HU Jia-cheng, CUI Ting, WANG Chan-yuan, SHEN Xiao-yan, LI Dong-sheng. Robust Gaussian Algorithm of Surface Roughness for Diaphragm Gas Valve Fitting Face. Acta Metrologica Sinica, 2014, 35(5): 420-424.
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2014, Vol. 35 
