Title
Detekcija stanja rotacionih aktuatora zasnovana na analizi akustičkih signala
Creator
Vujnović, Sanja M., 1987-
Copyright date
2017
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 29. 12. 2017.
Other responsibilities
mentor
Đurović, Željko, 1964-
član komisije
Kovačević, Branko, 1951-
član komisije
Perić, Zoran, 1964-
član komisije
Kvaščev, Goran, 1975-
član komisije
Bebić, Milan, 1967-
član komisije
Šumarac-Pavlović, Dragana, 1967-
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Beogradu
Faculty
Elektrotehnički fakultet
Alternative title
State detection of rotating actuators based on acoustic signal analysis
Publisher
[S. Vujnović]
Format
115 listova
description
Elektrotehnika i računarstvo-Upravljanje sistemima i obrada signala / Electrical and Computer Engineering-System control and signal processing
Abstract (sr)
Danas se u industriji sve veći akcenat stavlja na razvijanje ekonomičnijih načina
održavanja mašina i blagovremene detekcije otkaza. Ovo nije toliko iznenađujuće ako se
uzme u obzir procena da je čak jedna trećina troškova održavanja prosečnog industrijskog
postrojenja posledica suvišnog ili neefikasnog održavanja...
Abstract (en)
In recent years in modern industry great emphasis has been placed on the
development of cost-eective approaches to machine maintenance and timely fault detection.
This is not so surprising if one takes into account the estimate that one third of
the maintenance costs of an average industrial plant are due to excessive or inecient
upkeep. Modern predictive maintenance techniques were developed with goal to prolong
life expectancy of machines and detect worn components in timely manner, thus significantly
reducing maintenance costs. These methods are based on acquisition of appropriate
signals (vibration measurements, thermographic images, etc.), processing and analysis of
those signals and, finally, estimating the state of the machine and assessing the necessity
of repairs.
Rotating machines are especially common in industry and are frequently mentioned
in modern predictive maintenance literature, with vibration signals being the most informative
resource for their diagnostics. The usage of vibration signals for feature extraction
and machine condition diagnostics is well founded in the literature and tested on various
types of actuators, including industrial mills. However, in the last decade an increased
emphasis has been placed on usage of acoustic signals with purpose of fault detection. It
has been shown that they can be as informative as vibration signals and can enable the
detection of certain changes even faster, due to their high sensitivity to certain changes in
the environment. Also, acoustic sensors are cheaper, contactless and can record signals in
an immediate vicinity of an actuator while it is in operation.
There has been much success in using acoustic sensors for predictive maintenance;
however, almost all those results are obtained in strictly controlled laboratory conditions.
A major issue in using these signals in industrial surroundings is their high susceptibility
to the surrounding noise which is always present in real-life conditions. Filtering
the noise using traditional techniques is usually not possible without significant loss of
useful information, so all the benefits of using sound signals for fault detection are often
overshadowed by this one flaw.
The main objective of the research conducted within this doctoral dissertation is the
development of new methodology which, using acoustic signals in contaminated environment,
searches for informative features in time and frequency domain. The special
attention will be given to preprocessing of the signal for the purpose of detecting the
existence of contaminating components. The research will be focused on problems in
thermal power plants (state detection of impellers within mills), but it is our belief that
the results can be generalized and expanded to broad family of rotating actuators like
feedwater pumps, compressors, ventilators, etc...
Authors Key words
akustiˇcki signali, rotacioni aktuatori, detekcija stanja, termoelektrane, prediktivno
održavanje, robusna predobrada, klasifikacija, prepoznavanje oblika
Authors Key words
acoustic signals, rotating actuators, state detection, thermal power plants,
predictive maintenance, robust preprocessing, classification, pattern recognition
Classification
621.391.8:681.524(043.3)
Type
Tekst
Abstract (sr)
Danas se u industriji sve veći akcenat stavlja na razvijanje ekonomičnijih načina
održavanja mašina i blagovremene detekcije otkaza. Ovo nije toliko iznenađujuće ako se
uzme u obzir procena da je čak jedna trećina troškova održavanja prosečnog industrijskog
postrojenja posledica suvišnog ili neefikasnog održavanja...
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