Instrumental platforms for vibration analysis in predictive maintenance

dc.citation.epage28
dc.citation.issue2
dc.citation.journalTitleВимірювальна техніка та метрологія
dc.citation.spage21
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorRyshkovskyi, Oleksandr
dc.contributor.authorLukashiv, Markiian
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2025-03-13T08:43:20Z
dc.date.created2024-02-27
dc.date.issued2024-02-27
dc.description.abstractThe article explores the benefits and importance of predictive maintenance in Industry 4.0. It is a revolutionary ap- proach that analyzes data from cyber-physical systems to predict possible equipment failures before they occur and technology applied to detect early signs of a vibration problem on equipment. Thus, downtime is minimized and production continuity is ensured.
dc.format.extent21-28
dc.format.pages8
dc.identifier.citationRyshkovskyi O. Instrumental platforms for vibration analysis in predictive maintenance / Ryshkovskyi Oleksandr, Lukashiv Markiian // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 85. — No 2. — P. 21–28.
dc.identifier.citationenRyshkovskyi O. Instrumental platforms for vibration analysis in predictive maintenance / Ryshkovskyi Oleksandr, Lukashiv Markiian // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 85. — No 2. — P. 21–28.
dc.identifier.doidoi.org/10.23939/istcmtm2024.02.021
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/64144
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofВимірювальна техніка та метрологія, 2 (85), 2024
dc.relation.ispartofMeasuring Equipment and Metrology, 2 (85), 2024
dc.relation.references[1] R. Mobley, An Introduction to Predictive Maintenance. Butterworth-Heinemann, 2002. https://www.sciencedirect.com/book/9780750675314/an-introduction-to-predictive-maintenance
dc.relation.references[2] Li, Communications for Control in Cyber Physical Systems, Morgan Kaufmann, 2016. https://www.sciencedirect.com/book/9780128019504/communications-for-control-in-cyber-physical-systems
dc.relation.references[3] P. Girdhar, C. Scheffer, Practical Machinery Vibration Analysis and Predictive Maintenance. Newnes, 2004. https://www.sciencedirect.com/book/9780750662758/practical-machinery-vibration-analysis-and-predictive-maintenance
dc.relation.references[4] F. K. Geitner, H. P. Bloch, Machinery Failure Analysis and Troubleshooting : Practical Machinery Management for Process Plants 4th Edition, Kindle Edition, https://www.amazon.com/Machinery-Failure-Analysis-Troubleshooting-Management-ebook/dp/B009Z9O86O
dc.relation.references[5] Thuy Chu, Tan Nguyen, Hyunsang Yoo, Jihoon Wang, “A review of vibration analysis and its applications”, Heliyon, Volume 10, Elsevier, 2024. [Online]. Available: https://doi.org/10.1016/j.heliyon.2024.e26282.
dc.relation.references[6] Tiago Zonta, Cristiano André da Costa, Rodrigo da Rosa Righi, Miromar José de Lima, Eduardo Silveira da Trindade, Guann Pyng Li, “Predictive maintenance in the Industry 4.0: A systematic literature review”, Computers & Industrial Engineering, Volume 150, Elsevier, 2020 [Online]. Available: https://doi.org/10.1016/j.cie.2020.106889.
dc.relation.references[7] IFM Prospect VES004 – Parameter setting software for vibration diagnostic electronics – ifm. [Online]. Available: https://www.ifm.com/gb/en/product/VES004.
dc.relation.references[8] IFM Prospect. moneo OS the IIoT platform [Online]. Available: https://www.ifm.com/gb/en/shared/moneo-iiot-platform/products/os.
dc.relation.references[9] EC 61131-9:2022. Programmable controllers - Part 9: Singledrop digital communication interface for small sensors and actuators (SDCI). https://webstore.iec.ch/publication/68534
dc.relation.references[10] L. E. Frenzel, Jr, Handbook of Serial Communications Interfaces, Newnes, 2016. https://www.sciencedirect.com/book/9780128006290/handbook-of-serial-communications-interfaces
dc.relation.references[11] ISO 20816-3:2022. Mechanical vibration. Measurement and evaluation of machine vibration – Part 3: Industrial machinery with a power rating above 15 kW and operating speeds between 120 r/min and 30000 r/min. https://icontec.isolutions.iso.org/ru/standard/78311.html?browse=tc
dc.relation.referencesen[1] R. Mobley, An Introduction to Predictive Maintenance. Butterworth-Heinemann, 2002. https://www.sciencedirect.com/book/9780750675314/an-introduction-to-predictive-maintenance
dc.relation.referencesen[2] Li, Communications for Control in Cyber Physical Systems, Morgan Kaufmann, 2016. https://www.sciencedirect.com/book/9780128019504/communications-for-control-in-cyber-physical-systems
dc.relation.referencesen[3] P. Girdhar, C. Scheffer, Practical Machinery Vibration Analysis and Predictive Maintenance. Newnes, 2004. https://www.sciencedirect.com/book/9780750662758/practical-machinery-vibration-analysis-and-predictive-maintenance
dc.relation.referencesen[4] F. K. Geitner, H. P. Bloch, Machinery Failure Analysis and Troubleshooting : Practical Machinery Management for Process Plants 4th Edition, Kindle Edition, https://www.amazon.com/Machinery-Failure-Analysis-Troubleshooting-Management-ebook/dp/B009Z9O86O
dc.relation.referencesen[5] Thuy Chu, Tan Nguyen, Hyunsang Yoo, Jihoon Wang, "A review of vibration analysis and its applications", Heliyon, Volume 10, Elsevier, 2024. [Online]. Available: https://doi.org/10.1016/j.heliyon.2024.e26282.
dc.relation.referencesen[6] Tiago Zonta, Cristiano André da Costa, Rodrigo da Rosa Righi, Miromar José de Lima, Eduardo Silveira da Trindade, Guann Pyng Li, "Predictive maintenance in the Industry 4.0: A systematic literature review", Computers & Industrial Engineering, Volume 150, Elsevier, 2020 [Online]. Available: https://doi.org/10.1016/j.cie.2020.106889.
dc.relation.referencesen[7] IFM Prospect VES004 – Parameter setting software for vibration diagnostic electronics – ifm. [Online]. Available: https://www.ifm.com/gb/en/product/VES004.
dc.relation.referencesen[8] IFM Prospect. moneo OS the IIoT platform [Online]. Available: https://www.ifm.com/gb/en/shared/moneo-iiot-platform/products/os.
dc.relation.referencesen[9] EC 61131-9:2022. Programmable controllers - Part 9: Singledrop digital communication interface for small sensors and actuators (SDCI). https://webstore.iec.ch/publication/68534
dc.relation.referencesen[10] L. E. Frenzel, Jr, Handbook of Serial Communications Interfaces, Newnes, 2016. https://www.sciencedirect.com/book/9780128006290/handbook-of-serial-communications-interfaces
dc.relation.referencesen[11] ISO 20816-3:2022. Mechanical vibration. Measurement and evaluation of machine vibration – Part 3: Industrial machinery with a power rating above 15 kW and operating speeds between 120 r/min and 30000 r/min. https://icontec.isolutions.iso.org/ru/standard/78311.html?browse=tc
dc.relation.urihttps://www.sciencedirect.com/book/9780750675314/an-introduction-to-predictive-maintenance
dc.relation.urihttps://www.sciencedirect.com/book/9780128019504/communications-for-control-in-cyber-physical-systems
dc.relation.urihttps://www.sciencedirect.com/book/9780750662758/practical-machinery-vibration-analysis-and-predictive-maintenance
dc.relation.urihttps://www.amazon.com/Machinery-Failure-Analysis-Troubleshooting-Management-ebook/dp/B009Z9O86O
dc.relation.urihttps://doi.org/10.1016/j.heliyon.2024.e26282
dc.relation.urihttps://doi.org/10.1016/j.cie.2020.106889
dc.relation.urihttps://www.ifm.com/gb/en/product/VES004
dc.relation.urihttps://www.ifm.com/gb/en/shared/moneo-iiot-platform/products/os
dc.relation.urihttps://webstore.iec.ch/publication/68534
dc.relation.urihttps://www.sciencedirect.com/book/9780128006290/handbook-of-serial-communications-interfaces
dc.relation.urihttps://icontec.isolutions.iso.org/ru/standard/78311.html?browse=tc
dc.rights.holder© Національний університет “Львівська політехніка”, 2024
dc.subjectAccelerometer
dc.subjectCyber-physical system
dc.subjectPredictive maintenance
dc.subjectMeasurement of vibration parameters
dc.titleInstrumental platforms for vibration analysis in predictive maintenance
dc.typeArticle

Files

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
2024v85n2_Ryshkovskyi_O-Instrumental_platforms_21-28.pdf
Size:
454.95 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
2024v85n2_Ryshkovskyi_O-Instrumental_platforms_21-28__COVER.png
Size:
1.21 MB
Format:
Portable Network Graphics

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.77 KB
Format:
Plain Text
Description: