computational experiment

Recognition of Inclusion Characteristics Using Neural Network Methods in Stationary Process Modeling

Detection and identification of inclusions in the modeling of stationary processes is a crucial task in many technical fields, including materials science, electronics, and non-destructive testing. The presence of inclusions can affect the mechanical, thermal, and electrical properties of a material, making the accurate determination of their geometric and physical characteristics essential. The use of modern numerical methods and deep learning techniques opens new opportunities for improving the efficiency and accuracy of prediction results.

Influence of Accumulated Damage on the Experimental Resource of the Boiler Unit Drum of the Thermal Power Plant

Goal of the work is to develop a methodology for researching the possibility of further exploitation of drums of boiler units of thermal power plants after exhausting their park resource. Significance.