ON THE HYBRID SYSTEM OF QUALITY SUPERVISING IN THE AUTOMATED GRINDING PROCESS

摘要

The quality supervising is a necessary condition to achieve the highest quality level of products manufactured in high-cost operations of grinding, especially grinding of responsible elements of measurement machines and devices. In the paper a system is presented that permits a connection of results of diagnostics procedures with factors that influence on a quality is essential, and can, in the period of time, cause threats of required quality. The proposed system assembles advantages of the artificial neural networks and fuzzy logic methods.