Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical ApplicationsReportar como inadecuado




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Dipartimento Ingegneria della Informazione-Università di Pisa, via G. Caruso 16, Pisa 56122, Italy





Academic Editor: Rodolfo Araneo

Abstract This work proposes a scalable architecture of an Uninterruptible Power Supply UPS system, with predictive diagnosis capabilities, for safety critical applications. A Failure Mode and Effect Analysis FMEA has identified the faults occurring in the energy storage unit, based on Valve Regulated Lead-Acid batteries, and in the 3-phase high power transformers, used in switching converters and for power isolation, as the main bottlenecks for power system reliability. To address these issues, a distributed network of measuring nodes is proposed, where vibration-based mechanical stress diagnosis is implemented together with electrical voltage, current, impedance and thermal degradation analysis. Power system degradation is tracked through multi-channel measuring nodes with integrated digital signal processing in the transformed frequency domain, from 0.1 Hz to 1 kHz. Experimental measurements on real power systems for safety-critical applications validate the diagnostic unit. View Full-Text

Keywords: uninterruptible power supply UPS; predictive maintenance; measurements on power transformers; battery monitoring; power electronics and components uninterruptible power supply UPS; predictive maintenance; measurements on power transformers; battery monitoring; power electronics and components





Autor: Sergio Saponara

Fuente: http://mdpi.com/



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