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Appl. Sci. 2018, 8(2), 182; doi:10.3390/app8020182

An Examination of Thermal Features’ Relevance in the Task of Battery-Fault Detection

Centre ENET at VŠB-TU Ostrava, 708 00 Ostrava, Czech Republic
Department of Computer Science at VŠB-TU Ostrava, 708 00 Ostrava, Czech Republic
E.ON Distribuce, a.s., 370 01 České Budějovice, Czech Republic
Author to whom correspondence should be addressed.
Received: 14 December 2017 / Revised: 13 January 2018 / Accepted: 22 January 2018 / Published: 26 January 2018
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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. View Full-Text
Keywords: battery overheat; fault detection; thermal feature processing; relevance estimation battery overheat; fault detection; thermal feature processing; relevance estimation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Vantuch, T.; Fulneček, J.; Holuša, M.; Mišák, S.; Vaculík, J. An Examination of Thermal Features’ Relevance in the Task of Battery-Fault Detection. Appl. Sci. 2018, 8, 182.

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