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Pregled bibliografske jedinice broj: 201708

Fault detection and localization on underwater vehicle propulsion system using principal component analysis


Mišković, Nikola; Barišić, Matko
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:

Avatar Url Nikola Mišković (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Mišković, Nikola; Barišić, Matko
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)
Mišković, N. & Barišić, M. (2005) Fault detection and localization on underwater vehicle propulsion system using principal component analysis. U: Perić, N., Petrović, I. & Butković, Ž. (ur.)Proceedings of International Symposium on Industrial Electronics 2005 in Dubrovnik, Croatia.
@article{article, author = {Mi\v{s}kovi\'{c}, Nikola and Bari\v{s}i\'{c}, Matko}, year = {2005}, pages = {1721-1727}, keywords = {fault detection, fault localization, autonomous underwater vehicle, principal components analysis, PCA}, title = {Fault detection and localization on underwater vehicle propulsion system using principal component analysis}, keyword = {fault detection, fault localization, autonomous underwater vehicle, principal components analysis, PCA}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, author = {Mi\v{s}kovi\'{c}, Nikola and Bari\v{s}i\'{c}, Matko}, year = {2005}, pages = {1721-1727}, keywords = {fault detection, fault localization, autonomous underwater vehicle, principal components analysis, PCA}, title = {Fault detection and localization on underwater vehicle propulsion system using principal component analysis}, keyword = {fault detection, fault localization, autonomous underwater vehicle, principal components analysis, PCA}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Dubrovnik, Hrvatska} }




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