Prediction of Belt Drive Faults in Case of Predictive Maintenance in Industry 4.0 Platform

Simple item record

Full item record

dc.contributor.authorPollak, Artur
dc.contributor.authorTemich, Sebastian
dc.contributor.authorPtasiński, Wojciech
dc.contributor.authorKucharczyk, Jacek
dc.contributor.authorGąsiorek, Damian
dc.contributor.organizationAPA Sp. z o.o.
dc.contributor.organizationPolitechnika Śląska
dc.date.accessioned2025-03-17T12:29:50Z
dc.date.available2025-03-17T12:29:50Z
dc.date.issued2021-11-03
dc.descriptionDevelopment, through R&D work, of the Nazca 4.0 production optimization platform
dc.description.abstractContinuous production maintenance cost is among one of the highest operational expenses for manufacturing companies. Proper planning of maintenance interventions results in optimized equipment use, higher product quality, and reduced costs. For a belt drive usefulness, it is important that it is properly stretched and has no defects. However, manual condition assessment requires a production line stop, which in turn causes production to stop with associated consequences. Continuous fault diagnosis for anomalies is a fundamental step in estimating a component’s remaining service life and then obtaining a reliable predictive maintenance system that reduces production costs. The presented work presents an approach to anomaly detection based on the vibrations obtained from the operation of the belt transmission.en
dc.description.sponsorshipEuropean Regional Development Fund (ERDF) under the Regional Operational Programme for the Silesian Voivodeship 2014- –2020 (Agreement No. UDA-RPSL.01.02.00-24-047G/19-00).
dc.identifier.citationPollak, A., Temich, S., Ptasiński, W., Kucharczyk, J., & Gąsiorek, D. (2021). Prediction of belt drive faults in case of predictive maintenance in industry 4.0 platform. Applied Sciences, 11(21), 10307. https:// doi.org/10.3390/app112110307
dc.identifier.doi10.3390/app1121110307
dc.identifier.urihttps://open.icm.edu.pl/handle/123456789/25527
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofseries11(21); 10307
dc.rightsUznanie autorstwa 4.0 Międzynarodoween
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceApplied Sciences
dc.subjectIndustry 4.0en
dc.subjectmechanical engineeringen
dc.subjectbelt drive faultsen
dc.subjectpredictive maintenanceen
dc.titlePrediction of Belt Drive Faults in Case of Predictive Maintenance in Industry 4.0 Platformen
dc.title.alternativePrzewidywanie usterek napędu pasowego w ramach konserwacji predykcyjnej na platformie Przemysłu 4.0pl
dc.typearticle
dc.type.versionpublishedVersion
person.identifier.orcidPollak, Artur [0009-0004-4137-687X]
person.identifier.orcidTemich, Sebastian [0000-0001-6486-7103]
person.identifier.orcidPtasiński, Wojciech [0000-0000-0000-0000]
person.identifier.orcidKucharczyk, Jacek [0000-0000-0000-0000]
person.identifier.orcidGąsiorek, Damian [0000-0001-6386-3266]
Files for this record
Original bundle
Now showing 1 - 1 of 1
Name: art3.pdf
Size: 1.07 MB
Format: Adobe Portable Document Format
Description:
Download
License files
Name: license_rdf
Size: 1019 B
Format: RDF serialized in XML
Description:
Download
Belongs to collection
Artykuły / Articles