Mobile Automated Diagnostics of Stress State and Residual Life Prediction for a Component under Intensive Random Dynamic Loads

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dc.identifier.uri http://dx.doi.org/10.15488/3812
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/3846
dc.contributor.author Mozgova, Iryna
dc.contributor.author Yanchevskyi, Ihor
dc.contributor.author Gerasymenko, Mykola
dc.contributor.author Lachmayer, Roland
dc.date.accessioned 2018-10-10T09:25:40Z
dc.date.available 2018-10-10T09:25:40Z
dc.date.issued 2018
dc.identifier.citation Mozgova, I.; Yanchevskyi, I.; Gerasymenko, M.; Lachmayer, R.: Mobile Automated Diagnostics of Stress State and Residual Life Prediction for a Component under Intensive Random Dynamic Loads. In: Procedia Manufacturing 24 (2018), S. 210-215. DOI: https://doi.org/10.1016/j.promfg.2018.06.037
dc.description.abstract This article presents an approach developed for collecting and processing data about the actual stress state of a structural component of a technical product and to estimate its residual fatigue life in case random dynamic loadings. As input data sensor values are being used from which the operating loads acting on a component are calculated. For the realization of the experiments a suitable mobile measuring device has been developed. The device is designed to digitize sensor signals at certain positions identified by simulation results, to collect this data in an internal memory, to mathematically analyze this data in real time, to process this data in parallel for the purpose of identifying characteristic information, to restore the stress state of the component and to estimate the residual fatigue life. The created concept provides an opportunity to realize the "intellectualization" of structural components without radical changes in their construction and allows supplementing components with additional functions for collecting and analyzing data during the usage phase of the components life cycle, what is an integral part of an Industry 4.0 product. eng
dc.language.iso eng
dc.publisher Amsterdam : Elsevier B.V.
dc.relation.ispartofseries Procedia Manufacturing 24 (2018)
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Component Stress State eng
dc.subject Dynamic Loads eng
dc.subject Industry 4.0 Product eng
dc.subject Mobile Measuring Device eng
dc.subject Residual Life eng
dc.subject.ddc 670 | Industrielle und handwerkliche Fertigung ger
dc.title Mobile Automated Diagnostics of Stress State and Residual Life Prediction for a Component under Intensive Random Dynamic Loads
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 23519789
dc.relation.doi https://doi.org/10.1016/j.promfg.2018.06.037
dc.bibliographicCitation.volume 24
dc.bibliographicCitation.firstPage 210
dc.bibliographicCitation.lastPage 215
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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