Abstract
The paper presents the state-of-the-art in the diagnostics of analog systems. The area is introduced, its aims, definitions and importance are explained. Unsolved problems are exposed to stress the importance of the development of new approaches. Then, diagnostic methods are presented, explaining the most important trends. Artificial intelligence is the most popular tool, and its application is presented in detail (focusing on measurement uncertainties). Examples of the diagnostics of selected systems (DC motor, electronic amplifier) prove the usefulness of new approaches. Conclusions discuss the advantages and disadvantages of the presented algorithms, identifying problems requiring further research.
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