Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications
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 Lea...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-04-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/9/5/327 |
| _version_ | 1798041103154282496 |
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| author | Sergio Saponara |
| author_facet | Sergio Saponara |
| author_sort | Sergio Saponara |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:16:49Z |
| format | Article |
| id | doaj.art-e95b999c0a2c42368823e96dbeb9750c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:16:49Z |
| publishDate | 2016-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-e95b999c0a2c42368823e96dbeb9750c2022-12-22T04:00:21ZengMDPI AGEnergies1996-10732016-04-019532710.3390/en9050327en9050327Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical ApplicationsSergio Saponara0Dipartimento Ingegneria della Informazione-Università di Pisa, via G. Caruso 16, Pisa 56122, ItalyThis 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.http://www.mdpi.com/1996-1073/9/5/327uninterruptible power supply (UPS)predictive maintenancemeasurements on power transformersbattery monitoringpower electronics and components |
| spellingShingle | Sergio Saponara Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications Energies uninterruptible power supply (UPS) predictive maintenance measurements on power transformers battery monitoring power electronics and components |
| title | Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications |
| title_full | Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications |
| title_fullStr | Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications |
| title_full_unstemmed | Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications |
| title_short | Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications |
| title_sort | distributed measuring system for predictive diagnosis of uninterruptible power supplies in safety critical applications |
| topic | uninterruptible power supply (UPS) predictive maintenance measurements on power transformers battery monitoring power electronics and components |
| url | http://www.mdpi.com/1996-1073/9/5/327 |
| work_keys_str_mv | AT sergiosaponara distributedmeasuringsystemforpredictivediagnosisofuninterruptiblepowersuppliesinsafetycriticalapplications |