Simple record

dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorSagardui, Goiuria
dc.contributor.otherPérez, Aitziber
dc.contributor.otherArellano Bartolomé, Cristóbal
dc.date.accessioned2019-05-22T11:36:53Z
dc.date.available2019-05-22T11:36:53Z
dc.date.issued2019
dc.identifier.issn2076-3417en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=150995en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/1213
dc.description.abstractIndustrial Cyber-Physical System (ICPS) monitoring is increasingly being used to make decisions that impact the operation of the industry. Industrial manufacturing environments such as production lines are dynamic and evolve over time due to new requirements (new customer needs, conformance to standards, maintenance, etc.) or due to the anomalies detected. When an evolution happens (e.g., new devices are introduced), monitoring systems must be aware of it in order to inform the user and to provide updated and reliable information. In this article, CALENDAR is presented, a software module for a monitoring system that addresses ICPS evolutions. The solution is based on a data metamodel that captures the structure of an ICPS in different timestamps. By comparing the data model in two subsequent timestamps, CALENDAR is able to detect and effectively classify the evolution of ICPSs at runtime to finally generate alerts about the detected evolution. In order to evaluate CALENDAR with different ICPS topologies (e.g., different ICPS sizes), a scalability test was performed considering the information captured from the production lines domain.en
dc.description.sponsorshipGobierno Vascoes
dc.language.isoengen
dc.publisherMDPI AGen
dc.rights© 2019 by the authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCyber Physical Systems CPSen
dc.subjectScalability testen
dc.subjectInternet of Things IoTen
dc.titleIndustrial Cyber-Physical System Evolution Detection and Alert Generationen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceApplied Sciencesen
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.3390/app9081586en
local.relation.projectIDGV/Elkartek 2018/KK-2018-00104/CAPV/Teknologia Ekin Hagin ( T ) Zerra Erabiliz/TEKINTZEen
local.rights.publicationfeeAPCen
local.rights.publicationfeeamount1654 €en
local.source.detailsVol. 9. Nº 8. 17 April, 2019eu_ES
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Simple record

Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International