Urošević, Vlade

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04fcd76b-856d-4e3a-ba31-95e07f515dd6
  • Urošević, Vlade (2)
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Author's Bibliography

Implementation of a Non-Linear Regression Model in Rolling Bearing Diagnostics

Savić, Biljana; Urošević, Vlade; Ivković, Nebojša; Milicević, Ivan; Popović, Marko; Gubeljak, Nenad; Šiniković, Goran

(Univ Osijek, Tech Fac, Slavonski Brod, 2022)

TY  - JOUR
AU  - Savić, Biljana
AU  - Urošević, Vlade
AU  - Ivković, Nebojša
AU  - Milicević, Ivan
AU  - Popović, Marko
AU  - Gubeljak, Nenad
AU  - Šiniković, Goran
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3687
AB  - The reliable operation of a mechanical system is dependent on the condition of installed rolling bearings. This paper presents a measuring system and equipment for analyzing the condition of rolling bearings. The developed system is a modular device (VibroLog) for measuring several diagnostic parameters for bearings, including vibration, number of revolutions, temperature and sound pressure. The device is a data collector and analyzer. Software in the Java programming language for the analysis and presentation of data obtained by VibroLog has also been developed. This paper is concerned with the development of a mathematical model for the evaluation and prediction of the qualitative state of rolling bearings in real operating conditions. It also presents results of measurement and mathematical modelling of the results. The model was formed by non-linear regression analysis as one of the most widely used statistical techniques. The analysis of the experimental data showed that the rate of change of a variable is proportional to its actual value. The model was tested on several rolling bearings having different degrees of damage. The developed model makes it possible to evaluate and predict the condition of the bearing by measuring the sound pressure level, which is simpler than vibration measurement in real operating conditions. During testing, the model generated results within the prediction error limits. The developed vibrodiagnostic system and the created model enable condition assessment and prediction for a wide range of rolling bearings.
PB  - Univ Osijek, Tech Fac, Slavonski Brod
T2  - Tehnički vjesnik
T1  - Implementation of a Non-Linear Regression Model in Rolling Bearing Diagnostics
EP  - 321
IS  - 1
SP  - 314
VL  - 29
DO  - 10.17559/TV-20201231113711
ER  - 
@article{
author = "Savić, Biljana and Urošević, Vlade and Ivković, Nebojša and Milicević, Ivan and Popović, Marko and Gubeljak, Nenad and Šiniković, Goran",
year = "2022",
abstract = "The reliable operation of a mechanical system is dependent on the condition of installed rolling bearings. This paper presents a measuring system and equipment for analyzing the condition of rolling bearings. The developed system is a modular device (VibroLog) for measuring several diagnostic parameters for bearings, including vibration, number of revolutions, temperature and sound pressure. The device is a data collector and analyzer. Software in the Java programming language for the analysis and presentation of data obtained by VibroLog has also been developed. This paper is concerned with the development of a mathematical model for the evaluation and prediction of the qualitative state of rolling bearings in real operating conditions. It also presents results of measurement and mathematical modelling of the results. The model was formed by non-linear regression analysis as one of the most widely used statistical techniques. The analysis of the experimental data showed that the rate of change of a variable is proportional to its actual value. The model was tested on several rolling bearings having different degrees of damage. The developed model makes it possible to evaluate and predict the condition of the bearing by measuring the sound pressure level, which is simpler than vibration measurement in real operating conditions. During testing, the model generated results within the prediction error limits. The developed vibrodiagnostic system and the created model enable condition assessment and prediction for a wide range of rolling bearings.",
publisher = "Univ Osijek, Tech Fac, Slavonski Brod",
journal = "Tehnički vjesnik",
title = "Implementation of a Non-Linear Regression Model in Rolling Bearing Diagnostics",
pages = "321-314",
number = "1",
volume = "29",
doi = "10.17559/TV-20201231113711"
}
Savić, B., Urošević, V., Ivković, N., Milicević, I., Popović, M., Gubeljak, N.,& Šiniković, G.. (2022). Implementation of a Non-Linear Regression Model in Rolling Bearing Diagnostics. in Tehnički vjesnik
Univ Osijek, Tech Fac, Slavonski Brod., 29(1), 314-321.
https://doi.org/10.17559/TV-20201231113711
Savić B, Urošević V, Ivković N, Milicević I, Popović M, Gubeljak N, Šiniković G. Implementation of a Non-Linear Regression Model in Rolling Bearing Diagnostics. in Tehnički vjesnik. 2022;29(1):314-321.
doi:10.17559/TV-20201231113711 .
Savić, Biljana, Urošević, Vlade, Ivković, Nebojša, Milicević, Ivan, Popović, Marko, Gubeljak, Nenad, Šiniković, Goran, "Implementation of a Non-Linear Regression Model in Rolling Bearing Diagnostics" in Tehnički vjesnik, 29, no. 1 (2022):314-321,
https://doi.org/10.17559/TV-20201231113711 . .
3
2

Upotreba virtuelnih i stvarnih vibro-dijagnostičkuh sistema za bolje praćenje stanja

Savić, Biljana; Slavković, Radomir; Veg, Emil; Urošević, Vlade; Vlajković, Hristina

(Univerzitet u Novom Sadu - Fakultet tehničkih nauka - Departman za proizvodno mašinstvo, Novi Sad, 2013)

TY  - JOUR
AU  - Savić, Biljana
AU  - Slavković, Radomir
AU  - Veg, Emil
AU  - Urošević, Vlade
AU  - Vlajković, Hristina
PY  - 2013
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1623
AB  - Intenzivan razvoj mikroprocesora i digitalne obrade signala, napravio je izuzetan uticaj na vibrodijagnostiku i promovisao ga u većini eksploatisane i pouzdane ne metode tehničke dijagnostike. Kroz inovativan inženjerski rad na izradi novog vibro - dijagnostičkog uređaja , zasnovana na LabVIEV aplikaciji, sprovedena su velika dinamička merenja i neka od njih su prikazana u ovom radu. Analiza podataka se vrši na osnovu evidencije prikupljenih podataka pomoću piezoelektričnog senzora visoke osetljivosti. Dizajnirana instrumentacija doživela pravu proveru u teškim industrijskim uslovima, na stvarnim mašinama, paralelno sa odgovarajućom mernom mašinom.
AB  - An intensive development of microprocessors and digital signal processing, made an outstanding impact on vibrodiagnostics and promoted it into the most exploited and reliable method of technical diagnostics. Through an innovative engineering work on development of a new vibro-diagnostics device, based on LabVIEW application, a vast of dynamic measurements were conducted and some of them are deployed in this paper. Data analysis is performed on the records collected with piezoelectric sensor of high sensitivity. The designed instrumentation underwent a true verification in harsh industrial conditions, on actual machinery, in parallel with an appropriate brand name measuring device.
PB  - Univerzitet u Novom Sadu - Fakultet tehničkih nauka - Departman za proizvodno mašinstvo, Novi Sad
T2  - Journal of Production Engineering
T1  - Upotreba virtuelnih i stvarnih vibro-dijagnostičkuh sistema za bolje praćenje stanja
T1  - Use of virtual and actual vibro-diagnostics for better condition monitoring
EP  - 30
IS  - 1
SP  - 27
VL  - 16
UR  - https://hdl.handle.net/21.15107/rcub_machinery_1623
ER  - 
@article{
author = "Savić, Biljana and Slavković, Radomir and Veg, Emil and Urošević, Vlade and Vlajković, Hristina",
year = "2013",
abstract = "Intenzivan razvoj mikroprocesora i digitalne obrade signala, napravio je izuzetan uticaj na vibrodijagnostiku i promovisao ga u većini eksploatisane i pouzdane ne metode tehničke dijagnostike. Kroz inovativan inženjerski rad na izradi novog vibro - dijagnostičkog uređaja , zasnovana na LabVIEV aplikaciji, sprovedena su velika dinamička merenja i neka od njih su prikazana u ovom radu. Analiza podataka se vrši na osnovu evidencije prikupljenih podataka pomoću piezoelektričnog senzora visoke osetljivosti. Dizajnirana instrumentacija doživela pravu proveru u teškim industrijskim uslovima, na stvarnim mašinama, paralelno sa odgovarajućom mernom mašinom., An intensive development of microprocessors and digital signal processing, made an outstanding impact on vibrodiagnostics and promoted it into the most exploited and reliable method of technical diagnostics. Through an innovative engineering work on development of a new vibro-diagnostics device, based on LabVIEW application, a vast of dynamic measurements were conducted and some of them are deployed in this paper. Data analysis is performed on the records collected with piezoelectric sensor of high sensitivity. The designed instrumentation underwent a true verification in harsh industrial conditions, on actual machinery, in parallel with an appropriate brand name measuring device.",
publisher = "Univerzitet u Novom Sadu - Fakultet tehničkih nauka - Departman za proizvodno mašinstvo, Novi Sad",
journal = "Journal of Production Engineering",
title = "Upotreba virtuelnih i stvarnih vibro-dijagnostičkuh sistema za bolje praćenje stanja, Use of virtual and actual vibro-diagnostics for better condition monitoring",
pages = "30-27",
number = "1",
volume = "16",
url = "https://hdl.handle.net/21.15107/rcub_machinery_1623"
}
Savić, B., Slavković, R., Veg, E., Urošević, V.,& Vlajković, H.. (2013). Upotreba virtuelnih i stvarnih vibro-dijagnostičkuh sistema za bolje praćenje stanja. in Journal of Production Engineering
Univerzitet u Novom Sadu - Fakultet tehničkih nauka - Departman za proizvodno mašinstvo, Novi Sad., 16(1), 27-30.
https://hdl.handle.net/21.15107/rcub_machinery_1623
Savić B, Slavković R, Veg E, Urošević V, Vlajković H. Upotreba virtuelnih i stvarnih vibro-dijagnostičkuh sistema za bolje praćenje stanja. in Journal of Production Engineering. 2013;16(1):27-30.
https://hdl.handle.net/21.15107/rcub_machinery_1623 .
Savić, Biljana, Slavković, Radomir, Veg, Emil, Urošević, Vlade, Vlajković, Hristina, "Upotreba virtuelnih i stvarnih vibro-dijagnostičkuh sistema za bolje praćenje stanja" in Journal of Production Engineering, 16, no. 1 (2013):27-30,
https://hdl.handle.net/21.15107/rcub_machinery_1623 .