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Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications

Author

Listed:
  • Sergio Saponara

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

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.

Suggested Citation

  • Sergio Saponara, 2016. "Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications," Energies, MDPI, vol. 9(5), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:5:p:327-:d:69119
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    Citations

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    Cited by:

    1. Yongming Zhang & Zhe Yan & Feng Yuan & Jiawei Yao & Bao Ding, 2018. "A Novel Reconstruction Approach to Elevator Energy Conservation Based on a DC Micro-Grid in High-Rise Buildings," Energies, MDPI, vol. 12(1), pages 1-17, December.
    2. Bożena Babiarz, 2018. "Aspects of Heat Supply Security Management Using Elements of Decision Theory," Energies, MDPI, vol. 11(10), pages 1-14, October.
    3. Md Morshed Alam & Saad Mekhilef & Mehdi Seyedmahmoudian & Ben Horan, 2017. "Dynamic Charging of Electric Vehicle with Negligible Power Transfer Fluctuation," Energies, MDPI, vol. 10(5), pages 1-20, May.
    4. Jaime de la Peña Llerandi & Carlos Sancho de Mingo & José Carpio Ibáñez, 2019. "Continuous Battery Health Diagnosis by On-Line Internal Resistance Measuring," Energies, MDPI, vol. 12(14), pages 1-13, July.
    5. Morris Brenna & Michela Longo & Wahiba Yaïci, 2017. "Modelling and Simulation of Electric Vehicle Fast Charging Stations Driven by High Speed Railway Systems," Energies, MDPI, vol. 10(9), pages 1-23, August.
    6. Weiliang Liu & Changliang Liu & Yongjun Lin & Liangyu Ma & Kang Bai & Yanqun Wu, 2018. "Optimal Scheduling of Residential Microgrids Considering Virtual Energy Storage System," Energies, MDPI, vol. 11(4), pages 1-23, April.
    7. Rishang Long & Jian Liu & Chunliang Lu & Jiaqi Shi & Jianhua Zhang, 2017. "Coordinated Optimal Operation Method of the Regional Energy Internet," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
    8. Jiefeng Hu, 2017. "Coordinated Control and Fault Protection Investigation of a Renewable Energy Integration Facility with Solar PVs and a Micro-Turbine," Energies, MDPI, vol. 10(4), pages 1-13, March.
    9. Yingshu Liu & Yue Fang & Jun Li, 2017. "Interconnecting Microgrids via the Energy Router with Smart Energy Management," Energies, MDPI, vol. 10(9), pages 1-19, August.
    10. Hossam A. Gabbar & Yahya Koraz, 2017. "Risk Assessment of Micro Energy Grid Protection Layers," Energies, MDPI, vol. 10(8), pages 1-19, August.

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