Support of the AS-interface networks diagnostic process with artificial intelligence adaptation

Nowadays in the reality of the market economy all industries must be competitive. To maintain their market positions, companies continuously reduce the manufacturing costs, while simultaneously improving the quality, reliability, aesthetics, modernity and durability of products. To achieve such a goal, appropriate methods of production management and optimization are required, which is impossible without the implementation of automatic control and robotics into process technologies. When troubleshooting a communications system (such as machines controlled by industrial networks) under operation conditions, engineers or technicians try to use some standard format to come to a quicker solution. Industrial communications system do not always follow the tried and tested rules (1), which previously worked with hardwired inputs and outputs. The rules (tested in laboratory and industrial environments) have some affinities discussed in this paper.