Multicriteria diagnosis of synchronous machine using the welch method

• Autorzy: Ferreira J. G. , Sobczyk T. J. , Warzecha A.

Identyfikatory

DOI

10.4467/2353737XCT.15.054.3854

Warianty tytułu

PL

Wielokryterialna diagnostyka maszyny synchronicznej z użyciem metody Welcha

• Języki publikacji: EN

Abstrakty

EN

This paper discusses the detection of internal faults in the stator and rotor windings of synchronous machines. Using current signature analysis, it is demonstrated how by using low cost equipment, it is possible to detect the fault by monitoring the currents. The process of detection is totally optimized, and the processing time is enough to identify the fault before the total machine damage. Using the spectrum of the healthy machine as a reference, the followed methodology allows the timely and reliable detection of faults.

PL

W niniejszym artykule opisano metodę wykrywania wewnętrznych uszkodzeń w uzwojeniach stojana i wirnika maszyny synchronicznej. Przedstawiono sposób zastosowania analizy widmowej monitorowanych prądów do wydzielenia sygnałów o uszkodzeniu. Proces wykrywania jest zoptymalizowany i umożliwia wykrycie uszkodzenia maszyny przed jej zniszczeniem. Wzorcem odniesienia jest widmo prądów maszyny nieuszkodzonej. Zastosowana metodologia zapewnia terminowe i niezawodne wykrywanie błędów.

Słowa kluczowe

EN

synchronous machine; spectral analysis; fault diagnosis

PL

maszyna synchroniczna; analiza widmowa; diagnostyka uszkodzeń

• Wydawca: Wydawnictwo Politechniki Krakowskiej im. Tadeusza Kościuszki
• Czasopismo: Czasopismo Techniczne. Elektrotechnika
• Rocznik: 2015
• Tom: Y. 112, iss. 1-E
• Strony: 343--352
• Opis fizyczny: Bibliogr. 18 poz., tab., wz., wykr.

Twórcy

autor

Ferreira J. G.

• Faculty of Electrical and Computer Engineering, Institute on Electromechanical Energy Conversion, Cracow University of Technology

autor

Sobczyk T. J.

• Faculty of Electrical and Computer Engineering, Institute on Electromechanical Energy Conversion, Cracow University of Technology

autor

Warzecha A.

• Faculty of Electrical and Computer Engineering, Institute on Electromechanical Energy Conversion, Cracow University of Technology

Bibliografia

• [1] Mechefske C.K., Machine condition monitoring and fault diagnostics, Vibration and Shock Handbook, 2005.
• [2] Ferreira J.G., Sobczyk T., Multicriteria diagnosis of synchronous machines – rotor-mounted sensing system. Rotor Signal Collector construction, UKACC 10th International Conference on Control, 2014.
• [3] Marwala T., Condition monitoring using computational intelligence methods: applications in mechanical and electrical systems, Springer, 2012.
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• [5] Tavner P., Ran L., Penman J., Sedding H., Condition Monitoring of Rotating Electrical Machines, 2008, Vol. 56, The Institution of Engineering and Technology.
• [6] Stone G., Condition monitoring and diagnostics of motor and stator windings-A review, Dielectrics and Electrical Insulation, IEEE Transactions, 2013, Vol. 20, no. 6, pp. 2073–2080.
• [7] Thomson W.T ., Gilmore R.J., Motor current signature analysis to detect faults in induction motor drives-fundamentals, data interpretation, and industrial case histories, Proccedings of 32rd Turbomachinery Symposium, 2003.
• [8] El Hachemi Benbouzid M., A review of induction motors signature analysis as a medium for faults detection, Industrial Electronics, IEEE Transactions, 2000, Vol. 47, no. 5, pp. 984–993.
• [9] Juárez-Caltzontzin L.L., Trinidad-Hernández G., Asiaín-Olivares T.I., Ruiz-Vega D., Theoretical and Experimental Analysis of the Short Circuit Current Components in Salient Pole Synchronous Generators, Proceedings of the 11th Spanish Portuguese Conference on Electrical Engineering (11 chile), 2009, Vol. 1.
• [10] Shuting W., Yonggang L., Heming L., Guiji T., The analysis of generator excitation current harmonics on stator and rotor winding fault, Industrial Electronics, IEEE International Symposium, 2006, Vol. 3, pp. 2089–2093.
• [11] Zhaoxia X., Hongwei F., Stator Winding Inter-Turn Short Circuit and Rotor Eccentricity Diagnosis of Permanent Magnet Synchronous Generator, Control, Automation and SYstems Engineering (case), International Conference, 2011, pp. 1–4.
• [12] Neti P., Nandi S., Stator inter-turn fault detection of synchronous machines using field current signature analysis, Industry Applications Conference, 41st IAS Annual Meeting, Conference Record of the IEEE, 2006, Vol. 5, pp. 2360–2367.
• [13] Neti P., Nandi S., Stator inter-turn fault detection of synchronous machines using field current and rotor search-coil voltage signature analysis, Industry Applications, IEEE Transactions, 2009, Vol. 45, no. 3, pp. 911–920.
• [14] Weinreb K., Drozdowski P., Detection of Winding Faults of a Salient Pole Synchronous Machine by a Spectral Analysis of Currents, Proc. ICEM, 1994, Vol. 94, pp. 5–8.
• [15] Rodriguez P., Rzeszucinski P., Sulowicz M. et al., Stator Circulating Currents as Media of Fault Detection in Synchronous Motors, Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), IEEE International Symposium, 2013.
• [16] Stoica P., Moses R.L., Spectral analysis of signals, Pearson/Prentice Hall, Upper Saddle River, NJ 2005.
• [17] Welch P.D., The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms, IEEE Transactions on Audio and Electroacoustics, 1967, Vol. 15, no. 2, pp. 70–73.
• [18] Drozdowski P., Weinreb K., Węgiel T., Wykrywanie ekscentryczności wirnika w maszynach synchronicznych poprzez analizę harmoniczną prądów, Materiały SME, 1995, pp. 206–221.

Uwagi

EN

Financial support from the Marie Curie FP7-ITN project “Energy savings from smart operation of electrical, process and mechanical equipment” – ENERGY-SMARTOPS, Contract No: PITN-GA-2010-264940 is gratefully acknowledged.