ABSTRACT The monograph deals with the topic of the diagnostics of technological drives. It focuses on the dependence of diagnostic parameters on technical state of technological drives, which is of crucial significance for industrial plants. The main aim is to contribute to knowledge within the topic of diagnostics of mechatronic systems by the analysis of the elements reliability characteristics; using methods, models, and algorithms for diagnostics and by studying examples of model diagnostic systems using AI methods based on neural networks and fuzzy inference systems. The diagnostic models of automated technological systems drives have been also developed.