An examination of thermal features' relevance in the task of battery-fault detection
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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.
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battery overheat, fault detection, thermal feature processing, relevance estimation
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Applied Sciences. 2018, vol. 8, issue 2, art. no. 182.
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Publikační činnost VŠB-TUO ve Web of Science / Publications of VŠB-TUO in Web of Science
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
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