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dc.contributor.authorJakovlev, Sergej
dc.contributor.authorEglynas, Tomas
dc.contributor.authorVozňák, Miroslav
dc.contributor.authorJusis, Mindaugas
dc.contributor.authorPartila, Pavol
dc.contributor.authorTovárek, Jaromír
dc.contributor.authorJankunas, Valdas
dc.date.accessioned2022-06-24T08:07:10Z
dc.date.available2022-06-24T08:07:10Z
dc.date.issued2022
dc.identifier.citationSensors. 2022, vol. 22, issue 7, art. no. 2752.cs
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10084/146312
dc.description.abstractDue to the mechanical nature of container handling operations, as well as natural factors, container and handling infrastructure suffers various types of damage during use, especially within the tight and enclosed environments of a ship's hull. In this operational environment, it is critical to detect any sort of physical impacts between the vertical cell guides of the ship's hull and the container. Currently, an inspection of impacts and evaluation of any consequences is performed manually, via visual inspection processes. This process is time-consuming and relies on the technical expertise of the personnel involved. In this paper, we propose a five-step impact-detection methodology (IDM), intended to detect only the most significant impact events based on acceleration data. We conducted real measurements in a container terminal using a sensory device placed on the spreader of the quay crane. The proposed solution identified an average of 12.8 container impacts with the vertical cell guides during common handling operations. In addition, the results indicate that the presented IDM can be used to recognize repeated impacts in the same space of each bay of the ship, and can be used as a decision support tool for predictive maintenance systems.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSensorscs
dc.relation.urihttps://doi.org/10.3390/s22072752cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectsignal processingcs
dc.subjectdata fusioncs
dc.subjectcontainer handlingcs
dc.subjectIoT sensorcs
dc.titleDetecting shipping container impacts with vertical cell guides inside container ships during handling operationscs
dc.typearticlecs
dc.identifier.doi10.3390/s22072752
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume22cs
dc.description.issue7cs
dc.description.firstpageart. no. 2752cs
dc.identifier.wos000781880300001


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.