Artificial intelligence based supervision and confirmation of measurement systems

The permanent increasing of quality standards, world wide competition, as well as the legislation of regulation of the product responsibility, require not only a proper documentation of the measurement data of the production, but also the continuous supervision of measuring and test equipment. Especially in modern flexible and intelligent production environment, measuring devices are often connected directly with the manufacturing process. This causes direct or indirect influences on the quality level, therefore the confirmation and management of measuring and test equipment is becoming a significant part of the quality management for the entire production. The confirmation of measuring equipment is an essential quality requirement for modern production especially at the higher demands of micro and nano technology. The efficiency of the confirmation can be increased and expenses can be reduced substantially through computer assistance with flexible checking intervals. For this purpose a special method has been developed at the Department for Interchangeable Manufacturing and Industrial Metrology, with which an increase of the flexibility level and efficiency of a system for the intelligent management and confirmation of inspection, measuring and test equipment can be achieved by dynamification of checking intervals. Keywords: confirmation of measuring systems, artificial intelligence, optimum checking interval, fuzzy logic, dynamification.