Current research trends in diagnostics of analog systems

Author

Bilski, Piotr ; Wojciechowski, J.

Author_Institution

Inst. of Radioelectron., Warsaw Univ. of Technol., Warsaw, Poland

fYear

2012

fDate

18-21 Sept. 2012

Firstpage

1

Lastpage

11

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.

Keywords

analogue circuits; artificial intelligence; circuit testing; fault diagnosis; measurement uncertainty; DC motor; analog system diagnostic method; artificial intelligence; electronic amplifier; fault diagnosis; measurement uncertainty; Additive noise; Circuit faults; Current measurement; Fault diagnosis; Integrated circuit modeling; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals and Electronic Systems (ICSES), 2012 International Conference on

Conference_Location

Wroclaw

Print_ISBN

978-1-4673-1710-8

Electronic_ISBN

978-1-4673-1709-2

Type

conf

DOI

10.1109/ICSES.2012.6382211

Filename

6382211