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 introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identification are reviewed. Par...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2014-06-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amcs-2014-0020 |
| _version_ | 1819242230397796352 |
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| author | Bilski Piotr Wojciechowski Jacek |
| author_facet | Bilski Piotr Wojciechowski Jacek |
| author_sort | Bilski Piotr |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T14:36:30Z |
| format | Article |
| id | doaj.art-8603e8c9cb75426a8a275e9041284564 |
| institution | Directory Open Access Journal |
| issn | 2083-8492 |
| language | English |
| last_indexed | 2024-12-23T14:36:30Z |
| publishDate | 2014-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | International Journal of Applied Mathematics and Computer Science |
| spelling | doaj.art-8603e8c9cb75426a8a275e90412845642022-12-21T17:43:21ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922014-06-0124227128210.2478/amcs-2014-0020amcs-2014-0020Artificial intelligence methods in diagnostics of analog systemsBilski PiotrWojciechowski Jacek0Institute of Radioelectronics Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, PolandThe 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.https://doi.org/10.2478/amcs-2014-0020fault detectionartificial intelligenceanalog systems |
| spellingShingle | Bilski Piotr Wojciechowski Jacek Artificial intelligence methods in diagnostics of analog systems International Journal of Applied Mathematics and Computer Science fault detection artificial intelligence analog systems |
| title | Artificial intelligence methods in diagnostics of analog systems |
| title_full | Artificial intelligence methods in diagnostics of analog systems |
| title_fullStr | Artificial intelligence methods in diagnostics of analog systems |
| title_full_unstemmed | Artificial intelligence methods in diagnostics of analog systems |
| title_short | Artificial intelligence methods in diagnostics of analog systems |
| title_sort | artificial intelligence methods in diagnostics of analog systems |
| topic | fault detection artificial intelligence analog systems |
| url | https://doi.org/10.2478/amcs-2014-0020 |
| work_keys_str_mv | AT bilskipiotr artificialintelligencemethodsindiagnosticsofanalogsystems AT wojciechowskijacek artificialintelligencemethodsindiagnosticsofanalogsystems |