ABSTRACT
The paper presents the technologies being developed in the Institute of Electronics and Information Technologies at Lublin University of Technology. They use optical sensors and artificial intelligence methods for process supervision and diagnostics. Research is aimed at developing a system allowing parametric evaluation of the quality of pulverized coal burner operation. The information about the status of the device is useful only when it has a form understandable to the operator or automatic control system and diagnostics. In the article, we analyse the case when improper operation of the burner consists in too high or too low excess air coefficient, diagnostics will therefore be relied on to detect three states.
