Yıl: 2015 Cilt: 23 Sayı: 5 Sayfa Aralığı: 1263 - 1271 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Detection of stator winding fault in induction motor using instantaneous power signature analysis

Öz:
Stator interturn faults are one of the most common faults occurring in induction motors. Early detection of interturn short circuit is important to reduce repair costs. Axial leakage monitoring,zero-sequence components,negative sequence current, and motor current signature analysis have been used for fault detection in early states. In the paper, the instantaneous power signature analysis technique is used to detect these faults, and experimental results for healthy and faulty motors are shown and discussed.
Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] IAS Motor Reliability Working Group. Report of large motor reliability survey of industrial and commercial installations, Part 1. IEEE T Ind Appl 1985; 21: 853–864.
  • [2] IAS Motor Reliability Working Group. Report of large motor reliability survey of industrial and commercial installations, Part II. IEEE T Ind Appl 1985; 21: 865–872.
  • [3] IAS Motor Reliability Working Group. Report of large motor reliability survey of industrial and commercial installations, Part III. IEEE T Ind Appl 1987; 23: 153–158.
  • [4] Bayrak M, K¨u¸c¨uker A. Detection of rotor bar corrosion in three phase asynchronous motors using wavelet analysis. In: MEPS 2010 Modern Electric Power Systems Proceedings of the International Symposium; 20-22 September 2010; Wroclaw, Poland. pp. 1–5.
  • [5] Grubic S, Aller JM, Lu B, Habetler TG. A survey on testing and monitoring methods for stator insulation systems of low-voltage induction machines focusing on turn insulation problems. IEEE T Ind Electron 2008; 55: 4127–4136.
  • [6] Khan A,Ozgonenel O,Rahman MA.Wavelet transform based protection of stator faults in synchronous generators. Electr Pow Compo Sys 2007, 35: 625–637.
  • [7] Ozgonenel O, Yal¸cın T. A complete motor protection algorithm based on PCA and ANN: a real time study. Turk J Electr Eng Co 2011, 19: 317–334.
  • [8] Toni K, Slobodan M, Aleksandar B. Detection of turn to turn faults in stator winding with axial magnetic flux in induction motors. In: IEEE Electric Machines & Drives Conference; 3–5 May 2007; Antalya, Turkey. New York, NY, USA: IEEE. pp. 826–829.
  • [9] Briz F, Degner MW, Garcia P, Dicz AB. Induction machine diagnostics using zero sequence component. In: IEEE Industry Applications Conference; 2–6 October 2005; Kowloon,Hong Kong.New York,NY,USA:IEEE.pp.34–41.
  • [10] Bakhri S, Ertugrul N, Soong WL, Arkan M. Investigation of negative sequence components for stator shorted turn detection in induction motors. In: 20th Australasian Universities Power Engineering Conference; 5–8 December 2010; Christchurch, New Zealand. pp. 1–6.
  • [11] Cardoso AJM, Cruz SMA, Fonseca DSB. Inter-turn stator winding fault diagnosis in three-phase induction motors, by park’s vector approach. IEEE T Energy Conver 1999; 14: 595–598.
  • [12] Spyropoulos DV, Mitronikas ED. Induction motor stator fault diagnosis technique using Park vector approach and complex wavelets. In: 2012 XXth International Conference on Electrical Machines; 2–5 September 2012; Marseille, France. pp. 1730–1734.
  • [13] Nandi S. Detection of stator faults in induction machines using residual saturation harmonics. IEEE T Ind Appl 2006; 42: 1201–1208.
  • [14] Cr˘aciunescu A, Ciumbulea G, Media M. Stator winding fault diagnostic of induction motor using instantaneous currents’ space phasor approach. Prz Elektrotechniczn 2012; 88: 108–111.
  • [15] Thomson WT. On-line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure. In: IEEE International Electric Machines and Drives Conference; 17–20 July 2001; Cambridge, MA, USA. New York, NY, USA: IEEE. pp. 891–898.
  • [16] Zagirnyak M,Mamchur D,Kalinov A.Comparison of induction motor diagnostic methods based on spectra analysis of current and instantaneous power signals. Prz Elektrotechniczn 2012; 88: 221–224.
  • [17] Treetrong J.Fault detection of electric motors based on frequency and time-frequency analysis using extended DFT. Int J Control Autom 2011; 4: 49–58.
  • [18] Gandhi A, Corrigan T, Parsa L. Recent advances in modeling and online detection of stator interturn faults in electrical motors. IEEE T Ind Electron 2011; 58: 1564–1575.
  • [19] Legowski SF, Sadrul Ula AHM, Trzynadlowski AM. Instantaneous power as a medium for the signature analysis of induction motors. IEEE T Ind Appl 1996; 32: 904–909.
  • [20] Zhenxing L,XianggenY,Zhe Z,Deshu C,Wei C.Online rotor mixed fault diagnosisway based on spectrum analysis of instantaneous power in squirrel cage induction motors. IEEE T Energy Conver 2004; 19: 485–490.
APA KÜÇÜKER A, Bayrak M (2015). Detection of stator winding fault in induction motor using instantaneous power signature analysis. , 1263 - 1271.
Chicago KÜÇÜKER Ahmet,Bayrak Mehmet Detection of stator winding fault in induction motor using instantaneous power signature analysis. (2015): 1263 - 1271.
MLA KÜÇÜKER Ahmet,Bayrak Mehmet Detection of stator winding fault in induction motor using instantaneous power signature analysis. , 2015, ss.1263 - 1271.
AMA KÜÇÜKER A,Bayrak M Detection of stator winding fault in induction motor using instantaneous power signature analysis. . 2015; 1263 - 1271.
Vancouver KÜÇÜKER A,Bayrak M Detection of stator winding fault in induction motor using instantaneous power signature analysis. . 2015; 1263 - 1271.
IEEE KÜÇÜKER A,Bayrak M "Detection of stator winding fault in induction motor using instantaneous power signature analysis." , ss.1263 - 1271, 2015.
ISNAD KÜÇÜKER, Ahmet - Bayrak, Mehmet. "Detection of stator winding fault in induction motor using instantaneous power signature analysis". (2015), 1263-1271.
APA KÜÇÜKER A, Bayrak M (2015). Detection of stator winding fault in induction motor using instantaneous power signature analysis. Turkish Journal of Electrical Engineering and Computer Sciences, 23(5), 1263 - 1271.
Chicago KÜÇÜKER Ahmet,Bayrak Mehmet Detection of stator winding fault in induction motor using instantaneous power signature analysis. Turkish Journal of Electrical Engineering and Computer Sciences 23, no.5 (2015): 1263 - 1271.
MLA KÜÇÜKER Ahmet,Bayrak Mehmet Detection of stator winding fault in induction motor using instantaneous power signature analysis. Turkish Journal of Electrical Engineering and Computer Sciences, vol.23, no.5, 2015, ss.1263 - 1271.
AMA KÜÇÜKER A,Bayrak M Detection of stator winding fault in induction motor using instantaneous power signature analysis. Turkish Journal of Electrical Engineering and Computer Sciences. 2015; 23(5): 1263 - 1271.
Vancouver KÜÇÜKER A,Bayrak M Detection of stator winding fault in induction motor using instantaneous power signature analysis. Turkish Journal of Electrical Engineering and Computer Sciences. 2015; 23(5): 1263 - 1271.
IEEE KÜÇÜKER A,Bayrak M "Detection of stator winding fault in induction motor using instantaneous power signature analysis." Turkish Journal of Electrical Engineering and Computer Sciences, 23, ss.1263 - 1271, 2015.
ISNAD KÜÇÜKER, Ahmet - Bayrak, Mehmet. "Detection of stator winding fault in induction motor using instantaneous power signature analysis". Turkish Journal of Electrical Engineering and Computer Sciences 23/5 (2015), 1263-1271.