Distributed measuring system for predictive diagnosis of uninterruptible power supplies in safety-critical applications

Energies

Volumn 9, Issue 5, 2016, Pages 327-

  Saponara, Sergio ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

Battery monitoring; Measurements on power transformers; Power electronics and components; Predictive maintenance; Uninterruptible power supply (UPS)

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; DIGITAL SIGNAL PROCESSING; ELECTRIC POWER SYSTEM MEASUREMENT; ELECTRIC POWER SYSTEMS; FREQUENCY DOMAIN ANALYSIS; LEAD ACID BATTERIES; POWER TRANSFORMERS; RELIABILITY ANALYSIS; SAFETY ENGINEERING; VIBRATION ANALYSIS;

BATTERY MONITORING; DISTRIBUTED MEASURING SYSTEM; FAILURE MODE AND EFFECT ANALYSIS; POWER SYSTEM DEGRADATION; PREDICTIVE MAINTENANCE; SAFETY CRITICAL APPLICATIONS; UNINTERRUPTIBLE POWER SUPPLY (UPS); VALVE REGULATED LEAD ACID BATTERIES;

UNINTERRUPTIBLE POWER SYSTEMS;

EID: 84988908562     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en9050327     Document Type: Article

References (55)

1. Consilvio, A.; Di Febbraro, A.; Sacco, N. A Modular Model to Schedule Predictive Railway Maintenance Operations. In Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Budapest, Hungary, 3-5 June 2015; pp. 426-433.
2. Ramirez-Niño, J.; Pascacio, A.; Carrillo, J.; de la Torre, O. Monitoring network for online diagnosis of power generators. Measurement 2009, 42, 1203-1213.
3. Costantino, N.; Serventi, R.; Tinfena, F.; D'Abramo, P.; Chassard, P.; Tisserand, P.; Saponara, S.; Fanucci, L. Design and test of an HV-CMOS intelligent power switch with integrated protections and self-diagnostic for harsh automotive applications. IEEE Trans. Ind. Electr. 2011, 58, 2715-2727.
4. Sunder, R.; Kolbasseff, A.; Kieninger, K.; Rohm, A.; Walter, J. Operational Experiences with Onboard Diagnosis System for High Speed Trains. In Proceedings of the World Conference on Railway Research (WCRR), Koln, Germany, 2001; pp. 1-9.
5. Umiliacchi, P.; Lane, D.; Romano, F. Predictive maintenance of railway subsystems using an Ontology based modelling approach. In Proceedings of theWorld Conference on Railway Research (WCRR), Lille, France, 2011; p. 110.
6. Antony, J.J.V.; Nasira, G.M. Towards predictive maintenance and management in rail sector: A clustering approach. In Proceedings of the IEEE International Conference on Recent Trends in Information Technology (ICRTIT), Chennai, India, 25-27 July 2013; pp. 502-507.
7. Saponara, S.; Fanucci, L.; Bernardo, F.; Falciani, A. A network of vibration measuring nodes with integrated signal processing for predictive maintenance of high power transformers. In Proceedings of the IEEE WISP 2015, Siena, NY, USA, 15-17 May 2015; pp. 1-4.
8. Saponara, S.; Fanucci, L.; Falciani, A. Uninterruptible Power Supply Systems for Railway with Predictive Diagnostic against Power Transformer Failure. In Proceedings of the IEEE 15th EEEIC, Rome, Italy, 10-13 June 2015; pp. 2119-2123.
9. Galar, D.; Thaduri, A.; Catelani, M.; Ciani, L. Context awareness for maintenance decision making: A diagnosis and prognosis approach. Measurement 2015, 67, 137-150.
10. Gumilang, H.; Ansori, E.; Siregar, R.; Subrata, I.; Henny Ika, S.; Aenul, R.; Yuliastuti, E.; Setiawan, A. Condition assessment method for power transformer as a part of condition based maintenance program in PLN P3B Jawa Bali. In Proceedings of the 2012 International Conference on Condition Monitoring and Diagnosis (CMD), Bali, Indonesia, 23-27 September 2012; pp. 269-272.
11. Wardani, N.U.; Purnomoadi, A.P.; Septiani, H.I.; Arifianto, I.; Cahyono, B. Condition assessment of 500/150 kV power transformer based on condition based maintenance. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics (ICEEI), Bandung, Indonesia, 17-19 July 2011.
12. Furlong, E.R. UPS topologies for large critical power systems (>500 KVA). In Proceedings of the 13th Annual Power Quality Exhibition & Conference, Atlanta, GA, USA, 30 October 2002.
13. Rasmussen, N. The Different Types of UPS Systems; White paper n.1, rev.7; Schneider Electric DCSC (Data Center Science Center): Rueil Malmaison, France, 2011; pp. 1-10.
14. Baronti, F.; Fantechi, G.; Fanucci, L.; Leonardi, E.; Roncella, R.; Saletti, R.; Saponara, S. State-of-charge estimation enhancing of lithium batteries through a temperature-dependent cell model. In Proceedings of the 2011 International Conference on Applied Electronics, Pilsen, Czech Republic, 7-8 September 2011; pp. 29-34.
15. VRLA Batteries Introduction; Professional Battery Quality (PBQ): Haarlem, The Netherlands, 2010; pp. 1-9.
16. Kramm, F. Float Life Expectancy of VRLA-Batteries Based on High Temperature Float Tests Impact of Discharge Rate, Design and Test Parameter. In Proceedings of the INTELEC 06-Twenty-Eighth International Telecommunications Energy Conference, Providence, RI, USA, 10-14 September 2006; pp. 1-5.
17. Ma, H.Z.; Jiang, N.; Wang, C.N.; Geng, Z.H. Improved power transformer winding deformation fault diagnosis method. In Proceedings of the 22nd International Conference on Electricity Distribution, Stockholm, Sweden, 10-13 June 2013.
18. Shao, Y.; Rao, Z. Online state diagnosis of transformer windings based on time-frequency analysis. WSEAS Trans. Circ. Syst. 2009, 8, 227-236.
19. Hu, C.; Wang, P.; Youn, B.D.; Lee, W.R.; Yoon, J.T. Statistical health grade system against mechanical failures of power transformers. In Proceedings of the Conference of Prognostic and Health Management Society, Minneapolis, MN, USA, 2012.
20. Ibargüengoytia, P.H.; Pascacio, A.; Betancourt, E.; Liñan, R. Probabilistic Vibration Models in the Diagnosis of Power Transformers; Chapter 6; in Recent Advances in Vibration Analysis; Baddour, N., Ed.; InTech Europe: Rijeka, Croatia, 2011; pp. 103-122.
21. Yoon, J.T.; Park, K.M.; Youn, B.D.; Lee,W.R. Diagnostics of mechanical faults in power transformers, vibration sensor network design under vibration uncertainty. IEEE Eur. Conf. Progn. Health Manag. Soc. 2014, 5, 1-7.
22. Nafar, M.; Bahmanifirouzi, B.; Jabbari, M. Transformer Monitoring by using Vibration Analysis. Aust. J. Basic Appl. Sci. 2011, 5, 984-990.
23. Beltle, M.; Tenbohlen, S. Usability of vibration measurement for power transformer diagnosis and monitoring. In Proceedings of the 2012 International Conference on Condition Monitoring and Diagnosis (CMD), Bali, Indonesia, 23-27 September 2012; pp. 281-284.
24. Wui, S.; Huang,W.; Kong, F.;Wu, Q.; Zhong, F.; Zhang, R.;Wang, Z. Extracting Power Transformer Vibration Features by a Time-Scale-Frequency Analysis Method. Electromagn. Anal. Appl. 2010, 2, 31-38.
25. Jin, M.; Pan, J.; Huang, H.; Zhou, J. Transmission of vibration of a power transformer from the internal structures to the tank. In Proceedings of the Acoustics 2012-Fremantle, Fremantle, Australia, 21-23 November 2012; pp. 1-7.
26. Garcia, B.; Burgos, J.C.; Alonso, á.M. Transformer Tank Vibration Modeling as a Method of Detecting Winding Deformations-Part II: Experimental Verification. IEEE Trans. Power Deliv. 2006, 21, 164-169.
27. Garcia, B.; Burgos, J.C.; Alonso, á.M. Transformer Tank Vibration Modeling as a Method of Detecting Winding Deformations-Part I: Theoretical Foundation. IEEE Trans. Power Deliv. 2006, 21, 157-163.
28. Ming, D.Y. Research on Fault Diagnosis System for Power Transformer Based on Audio Signal. Master's Thesis, Huazhong University of Science and Technology, Wuhan, China, 2013.
29. Kim, J.-W.; Park, B.; Jeong, S.C.; Kim, S.W.; Park, P. Fault Diagnosis of a Power Transformer Using an Improved Frequency-Response Analysis. IEEE Trans. Power Deliv. 2005, 20, 169-178.
30. Li, H.; Zhang, B.; Chen, J.; Chao, C.; Wang, Y. Simulation and Test on Vibration Characteristics of Power Transformer Windings. In Proceedings of the International Symposium on Computers & Informatics (ISCI 2015), Beijing, China, 17-18 January 2015; pp. 1259-1267.
31. Van der Veen, M.; de Leon, F.; Gladstone, B.; Tatu, V. Measuring Acoustic Noise Emitted by Power Transformers; AES 109th convention: Los Angeles, CA, USA, 2000; pp. 1-19.
32. Arseneau, R.; Filipski, P.S.; Zelle, J.J. An improved three-phase digital recorder system for calibrating power instrumentation. IEEE Trans. Instr. Meas. 1997, 46, 399-402.
33. Arri, E.; Carta, A.; Mocci, F.; Tosi, M. Diagnosis of the State of Power Transformer Windings by On-Line Measurement of Stray Reactance. IEEE Trans. Instr. Meas. 1993, 42, 372-378.
34. Rietveld, G.; van der Beek, J.H.; Houtzager, E. Accurate DC current ratio measurements for primary currents up to 600 A. IEEE Trans. Instr. Meas. 2015, 64, 3055-3061.
35. Cataliotti, A.; Cosentino, V.; Di Cara, D.; Nuccio, S.; Tinè, G. Rogowski coil current transducer compensation method for harmonic active power error. Measurement 2015, 63, 240-251.
36. Zhang, Z.; Li, H.B.; Li, Z.H. A novelty digital algorithm for online measurement of dielectric loss factor of electronic transformers. Measurement 2013, 46, 1200-1207.
37. Koufakis, E.I.; Karagiannopoulos, C.G.; Bourkas, P.D. Thermal coefficient measurements of the insulation in distribution transformers of a 20 kV network. Measurement 2008, 41, 10-19.
38. Sarkar, B.; Koley, C.; Roy, N.K.; Kumbhakar, P. Condition monitoring of high voltage transformers using Fiber Bragg Grating Sensor. Measurement 2015, 74, 255-267.
39. Jung, J.K.; Kang, J.H.; Lee, S.H.; Kim, M. In-situ measurement of the current transformer burden in a current transformer testing system using a shunt resistor. Measurement 2007, 40, 876-882.
40. So, E.; Arseneau, R.; Hanique, E. No-load loss measurements of power transformers under distorted supply voltage waveform conditions. IEEE Trans. Instr. Meas. 2003, 52, 429-432.
41. Arseneau, R.; So, E.; Banique, E. Measurements and Correction of No-Load Losses of Power Transformers. IEEE Trans. Instr. Meas. 2005, 54, 503-506.
42. Blanke, H.; Bohlen, O.; Buller, S.; De Doncker, R.W.; Fricke, B.; Hammouche, A.; Linzen, D.; Thele, M.; Sauer, D.U. Impedance measurements on lead-acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles. J. Power Sources 2005, 144, 418-425.
43. Suozzo, C. Lead-Acid Battery Aging and State of Health Diagnosis. Master's Thesis, Ohio State University, Columbus, OH, USA, 2008.
44. Huet, F. A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries. J. Power Sources 1998, 70, 59-69.
45. Micea, M.V.; Ungurean, L.; Cârstoiu, G.N.; Groza, V. Online State-of-Health Assessment for Battery Management Systems. IEEE Trans. Instr. Meas. 2011, 60, 1997-2006.
46. Yu, J.B. State-of-health monitoring and prediction of lithium-ion battery using probabilistic indication and state-space model. IEEE Trans. Instr. Meas. 2015, 64, 2937-2949.
47. Stevanatto, L.C.; Brusamarello, V.J.; Tairov, S. Parameter identification and analysis of uncertainties in measurements of lead-acid batteries. IEEE Trans. Instr. Meas. 2014, 63, 761-768.
48. Rasmussen, N. The Role of Isolation Transformers in Data Center UPS Systems; White Paper n. 9, rev. 0; Schneider Electric Data Center Science Center: Rueil Malmaison, France, 2011; pp. 1-26.
49. Corrigan, S. Controller Area Network Physical Layer Requirements; TI Application Report, SLLA270; Texas Instruments: Dallas, TX, USA, 2008.
50. Fanucci, L.; Saponara, S.; Morello, A. Power optimization of an 8051-compliant IP microcontroller. IEICE Trans. Electron. 2005, E88-C, 597-600.
51. Saponara, S.; Petri, E.; Fanucci, L.; Terreni, P. Sensor modeling, low-complexity fusion algorithms, and mixed-signal IC prototyping for gas measures in low-emission vehicles. IEEE Trans. Instr. Meas. 2011, 60, 372-384.
52. Marsi, S.; Saponara, S. Integrated video motion estimator with Retinex-like pre-processing for robust motion analysis in automotive scenarios: Algorithmic and real-time architecture design. J. Real-Time Image Process. 2010, 5, 275-289.
53. L'insalata, N.E.; Saponara, S.; Fanucci, L.; Terreni, P. Automatic synthesis of cost effective FFT/FFT cores for VLSI OFDM systems. IEICE Trans. Electron. 2008, E91-C, 487-496.
54. Fanucci, L.; Saletti, R.; Saponara, S. Parametrized and reusable VLSI macro cells for the low-power realization of 2-D discrete-cosine-transform. Microelectron. J. 2001, 32, 1035-1045.
55. Genovesi, S.; Saponara, S.; Monorchio, A. Parametric design of compact dual-frequency antennas for wireless sensor networks. IEEE Trans. Antennas Prop. 2011, 59, 2619-2627.