The technical diagnostics, as essential part of machine tool maintenance, provides information about condition of examined machine tool. It requires not only special equipment but also certain level of skill of operators in order to achieve optimal performance. The article is aimed at the set of methods and tools capable of providing realistic simulation of various machine tool conditions in order to allow meaningful training even on the educational CNC machine tool, which have limited options and functionality in comparison to the industrial ones. Training of diagnostic routines under various conditions is important to hone skills necessary for effective work diagnostician and thus to minimize downtime of machine tool required to perform maintenance tasks related to diagnostics. The methods described in the article shows both mechanical and software approach to altering positioning performance of machine tool and its impact to diagnostics measurements.

This work is supported by: KEGA, VEGA