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Pregled bibliografske jedinice broj: 762600

VIBRATION SIGNAL ANALYSIS AS SHIP'S DIAGNOSTIC'S TOOL


Vujović, Igor; Šoda, Joško; Kulenović, Zlatan; Kuzmanić, Ivica; Vujović Kežić, Slavica
VIBRATION SIGNAL ANALYSIS AS SHIP'S DIAGNOSTIC'S TOOL // Proceedings of 17th International Conference on Transport Science
Portorož, Slovenija, 2015. str. 575-587 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
VIBRATION SIGNAL ANALYSIS AS SHIP'S DIAGNOSTIC'S TOOL

Autori
Vujović, Igor ; Šoda, Joško ; Kulenović, Zlatan ; Kuzmanić, Ivica ; Vujović Kežić, Slavica

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 17th International Conference on Transport Science / - , 2015, 575-587

ISBN
978-961-6044-98-1

Skup
17th International Conference on Transport Sceince

Mjesto i datum
Portorož, Slovenija, 21.05.2015. - 22.05.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Condition monitoring; wavelet transform; vibration signal

Sažetak
Condition monitoring is an invaluable measure of modern engine diagnostic tool techniques. Vibration signal is a basic signal source, which is analyzed by signal analysis techniques. This paper presents an overview of wavelet application in ship’s engine condition monitoring. Due to a nature of the vibration signal (non-stationary in origin), wavelet and related transforms seems ideally suited to vibration signal analysis. The paper deals with cutting-edge technologies in this research field, as integrated vehicle health monitoring, Bayesian networks approach (which became superior to both the fault tree analysis and the event tree analysis), wavelet learning techniques, etc. Examples of typical failures are shown, as well as the effect of the failures to the vibration signal. These effects make possible to develop and use an identification procedure, which leads to the localization of the failure.

Izvorni jezik
Engleski

Znanstvena područja
Brodogradnja, Elektrotehnika, Strojarstvo



POVEZANOST RADA


Ustanove:
Pomorski fakultet, Split

Profili:

Avatar Url Zlatan Kulenović (autor)

Avatar Url Ivica Kuzmanić (autor)

Avatar Url Joško Šoda (autor)

Avatar Url Igor Vujović (autor)


Citiraj ovu publikaciju:

Vujović, Igor; Šoda, Joško; Kulenović, Zlatan; Kuzmanić, Ivica; Vujović Kežić, Slavica
VIBRATION SIGNAL ANALYSIS AS SHIP'S DIAGNOSTIC'S TOOL // Proceedings of 17th International Conference on Transport Science
Portorož, Slovenija, 2015. str. 575-587 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Vujović, I., Šoda, J., Kulenović, Z., Kuzmanić, I. & Vujović Kežić, S. (2015) VIBRATION SIGNAL ANALYSIS AS SHIP'S DIAGNOSTIC'S TOOL. U: Proceedings of 17th International Conference on Transport Science.
@article{article, author = {Vujovi\'{c}, Igor and \v{S}oda, Jo\v{s}ko and Kulenovi\'{c}, Zlatan and Kuzmani\'{c}, Ivica and Vujovi\'{c} Ke\v{z}i\'{c}, Slavica}, year = {2015}, pages = {575-587}, keywords = {Condition monitoring, wavelet transform, vibration signal}, isbn = {978-961-6044-98-1}, title = {VIBRATION SIGNAL ANALYSIS AS SHIP'S DIAGNOSTIC'S TOOL}, keyword = {Condition monitoring, wavelet transform, vibration signal}, publisherplace = {Portoro\v{z}, Slovenija} }
@article{article, author = {Vujovi\'{c}, Igor and \v{S}oda, Jo\v{s}ko and Kulenovi\'{c}, Zlatan and Kuzmani\'{c}, Ivica and Vujovi\'{c} Ke\v{z}i\'{c}, Slavica}, year = {2015}, pages = {575-587}, keywords = {Condition monitoring, wavelet transform, vibration signal}, isbn = {978-961-6044-98-1}, title = {VIBRATION SIGNAL ANALYSIS AS SHIP'S DIAGNOSTIC'S TOOL}, keyword = {Condition monitoring, wavelet transform, vibration signal}, publisherplace = {Portoro\v{z}, Slovenija} }




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