Abstract:
This work considers the problem of corrosion identification and quantitative estimation of corrosion damage, which is important in mechanical engineering, construction, and oil production. The goal of this work is to develop an information and analytical system for estimation and forecasting of corrosion processes on the surface of steel and aluminum. This system is considered on an example of data processing of the aluminum corrosion process and corrosion cracking of steel. The results of the work can be used for research of corrosion processes on the metal surface to establish patterns between surface condition and physical and chemical effects on it.
Keywords:information and analytical system; metal corrosion; computer vision.