Makowski, Ryszard - ed. ; Zarzycki, Jan - ed.
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 24, number 2 (2014) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2024-04-24
2024-04-24
27
https://zbc.uz.zgora.pl/publication/88744
Nazwa wydania | Data |
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Artificial intelligence methods in diagnostics of analog systems | 2024-04-24 |
Bilski, Adrian Wojciechowski, Jacek Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Kowalczuk, Zdzisław Czubenko, Michał Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Nowicki, Adam Grochowski, Michał Duzinkiewicz, Kazimierz Cordón, Oskar - ed. Kazienko, Przemysław - ed.
Maksimov, Vyacheslav Pandolfi, Luciano Triggiani, Roberto- ed. Maksimov, Vyacheslav I. - ed.
Chen, Wei Khan, Abdul Q. Abid, Muhammmad Ding, Steven X. Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Edwards, Christopher Alwi, Halim Tan, Chee Pin Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Janczak, Andrzej Korbicz, Józef (1951- ) - red. Patton, Ronald J. - red.
Oleksiuk, Marcin Szastaj, Paulina Bąbka, Jarosław - red Kowalska, Ewa - red.