Adaptive Technology Application for Vibration-Based Diagnostics of Roller Bearings on Industrial Plants

Roller bearings are widely used in equipment of different applications; therefore, the issues related to the assessment of bearing technical state and localization of bearing faults are quite important and relevant. The reason is that technical state of a bearing is a critical component, which deter...

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Main Authors: Mironov Aleksey, Doronkin Pavel, Priklonskiy Alexander, Yunusov Sergey
Format: Article
Language:English
Published: Sciendo 2014-09-01
Series:Transport and Telecommunication
Subjects:
Online Access:https://doi.org/10.2478/ttj-2014-0021
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author Mironov Aleksey
Doronkin Pavel
Priklonskiy Alexander
Yunusov Sergey
author_facet Mironov Aleksey
Doronkin Pavel
Priklonskiy Alexander
Yunusov Sergey
author_sort Mironov Aleksey
collection DOAJ
description Roller bearings are widely used in equipment of different applications; therefore, the issues related to the assessment of bearing technical state and localization of bearing faults are quite important and relevant. The reason is that technical state of a bearing is a critical component, which determines efficiency of a mechanism or equipment. For bearings inspection and diagnostics, various methods of vibration-based diagnostics are used. The adaptive technology for vibration-based diagnostics developed in „D un D centrs” is an effective tool for evaluation of technical state of bearings in operation compared to the existing SKF method.
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spelling doaj.art-aa430773d8024fb08595a8cfff04064b2022-12-21T23:41:56ZengSciendoTransport and Telecommunication1407-61792014-09-0115323324210.2478/ttj-2014-0021ttj-2014-0021Adaptive Technology Application for Vibration-Based Diagnostics of Roller Bearings on Industrial PlantsMironov Aleksey0Doronkin Pavel1Priklonskiy Alexander2Yunusov Sergey3D un D centrs Ltd. Margrietas Str. 7, Riga, LV-1046, Latvia Phone: +371 67 468850. Fax +371 67 468856D un D centrs Ltd. Margrietas Str. 7, Riga, LV-1046, Latvia Phone: +371 67 468850. Fax +371 67 468856D un D centrs Ltd. Margrietas Str. 7, Riga, LV-1046, Latvia Phone: +371 67 468850. Fax +371 67 4688562Transport and Telecommunication Journal Institute Lomonosov Str. 1, Riga, LV-1019, Latvia Phone: +371 26435655Roller bearings are widely used in equipment of different applications; therefore, the issues related to the assessment of bearing technical state and localization of bearing faults are quite important and relevant. The reason is that technical state of a bearing is a critical component, which determines efficiency of a mechanism or equipment. For bearings inspection and diagnostics, various methods of vibration-based diagnostics are used. The adaptive technology for vibration-based diagnostics developed in „D un D centrs” is an effective tool for evaluation of technical state of bearings in operation compared to the existing SKF method.https://doi.org/10.2478/ttj-2014-0021roller bearingvibration-based diagnosticsskf methoddeteriorationadaptive technology
spellingShingle Mironov Aleksey
Doronkin Pavel
Priklonskiy Alexander
Yunusov Sergey
Adaptive Technology Application for Vibration-Based Diagnostics of Roller Bearings on Industrial Plants
Transport and Telecommunication
roller bearing
vibration-based diagnostics
skf method
deterioration
adaptive technology
title Adaptive Technology Application for Vibration-Based Diagnostics of Roller Bearings on Industrial Plants
title_full Adaptive Technology Application for Vibration-Based Diagnostics of Roller Bearings on Industrial Plants
title_fullStr Adaptive Technology Application for Vibration-Based Diagnostics of Roller Bearings on Industrial Plants
title_full_unstemmed Adaptive Technology Application for Vibration-Based Diagnostics of Roller Bearings on Industrial Plants
title_short Adaptive Technology Application for Vibration-Based Diagnostics of Roller Bearings on Industrial Plants
title_sort adaptive technology application for vibration based diagnostics of roller bearings on industrial plants
topic roller bearing
vibration-based diagnostics
skf method
deterioration
adaptive technology
url https://doi.org/10.2478/ttj-2014-0021
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AT doronkinpavel adaptivetechnologyapplicationforvibrationbaseddiagnosticsofrollerbearingsonindustrialplants
AT priklonskiyalexander adaptivetechnologyapplicationforvibrationbaseddiagnosticsofrollerbearingsonindustrialplants
AT yunusovsergey adaptivetechnologyapplicationforvibrationbaseddiagnosticsofrollerbearingsonindustrialplants