An examination of thermal features' relevance in the task of battery-fault detection
| dc.contributor.author | Vantuch, Tomáš | |
| dc.contributor.author | Fulneček, Jan | |
| dc.contributor.author | Holuša, Michael | |
| dc.contributor.author | Mišák, Stanislav | |
| dc.contributor.author | Vaculík, Jan | |
| dc.date.accessioned | 2018-03-28T11:32:34Z | |
| dc.date.available | 2018-03-28T11:32:34Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Uninterruptible 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.description.firstpage | art. no. 182 | cs |
| dc.description.issue | 2 | cs |
| dc.description.source | Web of Science | cs |
| dc.description.volume | 8 | cs |
| dc.format.extent | 1102221 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Applied Sciences. 2018, vol. 8, issue 2, art. no. 182. | cs |
| dc.identifier.doi | 10.3390/app8020182 | |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.uri | http://hdl.handle.net/10084/125485 | |
| dc.identifier.wos | 000427510300034 | |
| dc.language.iso | en | cs |
| dc.publisher | MDPI | cs |
| dc.relation.ispartofseries | Applied Sciences | cs |
| dc.relation.uri | https://doi.org/10.3390/app8020182 | cs |
| 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.access | openAccess | cs |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
| dc.subject | battery overheat | cs |
| dc.subject | fault detection | cs |
| dc.subject | thermal feature processing | cs |
| dc.subject | relevance estimation | cs |
| dc.title | An examination of thermal features' relevance in the task of battery-fault detection | cs |
| dc.type | article | cs |
| dc.type.status | Peer-reviewed | cs |
| dc.type.version | publishedVersion | cs |
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Publikační činnost Centra energetických jednotek pro využití netradičních zdrojů energie (9370)
Publikační činnost Katedry informatiky / Publications of Department of Computer Science (460)
Články z časopisů s impakt faktorem / Articles from Impact Factor Journals
OpenAIRE
Publikační činnost Centra energetických jednotek pro využití netradičních zdrojů energie (9370)
Publikační činnost Katedry informatiky / Publications of Department of Computer Science (460)
Články z časopisů s impakt faktorem / Articles from Impact Factor Journals