Information technology for quality assesment of the processing of metal surfaces by the method of wavelet analysis

Abstract

Purpose. Analyze the effectiveness of using wavelet analysis to assess the quality of metal surfaces. Develop information technology information technology to automate the process of assessing the quality of metal surfaces by wavelet analysis. Methodology. The main parameters for assessing the processing of metal surfaces are considered. A multilevel decomposition of the profile using wavelets was performed. Findings. The developed software allows to calculate parameters of an assesment of processing of metal surfaces that will help to minimize number of routine operations and difficult mathematical calculations, and also gives illustrative graphs of waviness and roughness. The advantage of this software product is that it is focused and developed specifically for the analysis of signals-profilograms of metal surfaces and is free. In further development, this software product can be used in the mechanical engineering industry (milling) and will help reduce the cost of software. Originality. The method of optimal decomposition of a complex signal is considered, using the criterion of minimizing the total entropy of wavelet coefficients of both its components in determining the optimal level of decomposition, reconstruction of the signal by approximating wavelet coefficients of the optimal signal. Convenient software has been developed. Practical value. The developed information technology of the software product for estimating the parameters of non-stationary signals can be used in the analysis and diagnosis of objects of different nature, in the mechanical engineering (milling) industry, in particular obtaining of waviness and roughness profiles.