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dc.contributor.authorVantuch, Tomáš
dc.contributor.authorFulneček, Jan
dc.contributor.authorHoluša, Michael
dc.contributor.authorMišák, Stanislav
dc.contributor.authorVaculík, Jan
dc.date.accessioned2018-03-28T11:32:34Z
dc.date.available2018-03-28T11:32:34Z
dc.date.issued2018
dc.identifier.citationApplied Sciences. 2018, vol. 8, issue 2, art. no. 182.cs
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10084/125485
dc.description.abstractUninterruptible power supplies (UPS), represented by lead-acid batteries, play an important role in various kinds of industries. They protect industrial technologies from being damaged by dangerous interruptions of an electric power supply. Advanced UPS monitoring performed by a complex battery management system (BMS) prevents the UPS from sustaining more serious damage due to its timely and accurate battery-fault detection based on voltage metering. This technique is very advanced and precise but also very expensive on a long-term basis. This article describes an experiment applying infrared thermographic measurements during a long term monitoring and fault detection in UPS. The assumption that the battery overheat implies its damaged state is the leading factor of our experiments. They are based on real measured data on various UPS battery sets and several statistical examinations confirming the high relevancy of the thermal features with mostly over 90% detection accuracy. Such a model can be used as a supplement for lead-acid battery based UPS monitoring to ensure their higher reliability under significantly lower maintenance costs.cs
dc.format.extent1102221 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesApplied Sciencescs
dc.relation.urihttps://doi.org/10.3390/app8020182cs
dc.rights© 2018 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.subjectbattery overheatcs
dc.subjectfault detectioncs
dc.subjectthermal feature processingcs
dc.subjectrelevance estimationcs
dc.titleAn examination of thermal features' relevance in the task of battery-fault detectioncs
dc.typearticlecs
dc.identifier.doi10.3390/app8020182
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume8cs
dc.description.issue2cs
dc.description.firstpageart. no. 182cs
dc.identifier.wos000427510300034


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Zobrazit minimální záznam

© 2018 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.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2018 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.