<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper presents the state of the art and advancement of artiﬁcial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identiﬁcation are reviewed. Particular groups of methods are presented in detail, explaining their usefulness and drawbacks. Examples, such as the induction motor or the electronic ﬁlter, are provided to show the applicability of the presented approaches for monitoring the state of analog objects from engineering domains. The discussion section reviews the presented approaches, their future prospects and problems to be solved.</p></abstract>

The paper presents the state of the art and advancement of artiﬁcial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identiﬁcation are reviewed. Particular groups of methods are presented in detail, explaining their usefulness and drawbacks. Examples, such as the induction motor or the electronic ﬁlter, are provided to show the applicability of the presented approaches for monitoring the state of analog objects from engineering domains. The discussion section reviews the presented approaches, their future prospects and problems to be solved.

Artificial intelligence methods in diagnostics of analog systems

Institute of Radioelectronics Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland

Department of Applied Informatics Warsaw University of Life Sciences, ul. Nowoursynowska 159, 02-776 Warsaw, Poland

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Artificial intelligence methods in diagnostics of analog systems"}

The paper presents the state of the art and advancement of artiﬁcial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is...

Artificial intelligence methods in diagnostics of analog systems

Online veröffentlicht: 26. Juni 2014

Seitenbereich: 271 - 282

Eingereicht: 21. Jan. 2013

DOI: https://doi.org/10.2478/amcs-2014-0020

Schlüsselwörter
fault detection, artiﬁcial intelligence, analog systems

© 2014 Piotr Bilski and Jacek Wojciechowski

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Artificial intelligence methods in diagnostics of analog systems

Online veröffentlicht: 26. Juni 2014

Seitenbereich: 271 - 282

Eingereicht: 21. Jan. 2013

DOI: https://doi.org/10.2478/amcs-2014-0020

Schlüsselwörterfault detection, artiﬁcial intelligence, analog systems

© 2014 Piotr Bilski and Jacek Wojciechowski

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
fault detection, artiﬁcial intelligence, analog systems