Pregled bibliografske jedinice broj: 201708
Fault detection and localization on underwater vehicle propulsion system using principal component analysis
Fault detection and localization on underwater vehicle propulsion system using principal component analysis // Proceedings of International Symposium on Industrial Electronics 2005 in Dubrovnik, Croatia / Perić, Nedjeljko ; Petrović, Ivan ; Butković, Željko (ur.).
Zagreb: Institute of Electrical and Electronics Engineers (IEEE), 2005. str. 1721-1727 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 201708 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Fault detection and localization on underwater vehicle propulsion system using principal component analysis
Autori
Mišković, Nikola ; Barišić, Matko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of International Symposium on Industrial Electronics 2005 in Dubrovnik, Croatia
/ Perić, Nedjeljko ; Petrović, Ivan ; Butković, Željko - Zagreb : Institute of Electrical and Electronics Engineers (IEEE), 2005, 1721-1727
Skup
IEEE ISIE 2005 Conference
Mjesto i datum
Dubrovnik, Hrvatska, 20.07.2005. - 23.07.2005
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
fault detection; fault localization; autonomous underwater vehicle; principal components analysis; PCA
Sažetak
In order to achieve full and viable autonomy of an underwater vehicle, it is of high importance that the vehicle can operate in at least a foreseeable, if not an unhindered way, under conditions of a technical failure or breakdown. Thus, a technique for dealing with a broad range of possible faults and failures is needed. Every such technique can be methodologically separated into a sub-technique for fault detection and an adaptive mechanism on the control law or behavior. This paper concerns itself with the problem area of fault detection and localization. It describes the mathematical method of Principal Component Analysis and provides guidelines for its use on fault detection and localization. The benchmark example used herein is a DC motor as a simplified model of a propulsion subsystem of an AUV. The particular algorithm in the PCA class that will be elaborated upon in this paper is the Partial Principal Component Analysis. The paper gives results of simulation in Simulink, comments on the successes and shortcomings of the method, and contains proposals for future research.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
0036010
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Nikola Mišković
(autor)