Abstract
The chapter deals with rotor mass unbalance fault. Diagnosis is done both using steady-state signal as well as starting current transients. Concordia is formed using steady-state current and analyzed. The Concordia -based assessment is done using starting current transients. Then radars are formed in Park plane wherefrom the faults are differentiated compared with those of normal motor. Then harmonics generated due to rotor broken bar has been assessed using FFT and wavelet transforms .
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Karmakar S, Ahamed SK, Mitra M, Sengupta S (2007) Diagnosis of fault due to unbalanced rotor of an induction motor by analysis of vibration and motor current signatures. International conference MS’07, India, 3–5 Dec 2007, pp 399–403
Cusido J, Rosero J, Aldabas E, Ortega JA, Romeral L (2006) New fault detection techniques for induction motors. Electr Power Quality Utilisation, Magazine II(1)
Benbouzid MEH (2000) A review of induction motor signature analysis as a medium for fault detection. IEEE Trans Ind Electron 47(5):984–993
Chattopadhyay S, Karmakar S, Mitra M, Sengupta S (2012) Radar analysis of stator current Concordia for diagnosis of unbalance in mass and cracks in rotor bar of an squirrel cage induction motor. Int J Model Meas Control Gen Phys Electr Appl, AMSE, Series A, 85(1):50–61. ISSN: 1259-5985
Chattopadhyay S, Mitra M, Sengupta S (2007) Harmonic analysis in a three-phase system using park transformation technique. Modeling-A. AMSE Int J Model Simul, France, 80(3):42–58
Chattopadhyay S, Mitra M, Sengupta S (2011) Electric power quality. First edn, Springer
Ahamed SK, Karmakar S, Mitra M, Sengupta S (2009) Detection of mass unbalance rotor of an induction motor using wavelet transform of the motor starting current at no load. In: Proceedings of national conference on modern trends in electrical engineering (NCMTEE-2009), organized by IET and HETC, Hooghly, West Bengal, pp MC-1 to MC-6, 11–12 July 2009
Ho Ha K, Hong JP, Kim G-T, Chang K-C, Lee J (2000) Orbital analysis of rotor due to electromagnetic force for switch reluctance motor. IEEE Trans on Magnetics 36(4)
Nandi S, Toliyat HA (1999) Condition monitoring and fault diagnosis of electrical machines—a review. In: Proceedings 34th annual meeting of IEEE industrial applications society, pp 197–204
Douglas H, Pillay P, Ziarani AK (2004) A new algorithm for transient motor current signature analysis using wavelets. IEEE Trans Ind Appl 40(5):1361–1368
Chow TW, Hai S (2004) Induction machine fault diagnostic analysis with wavelet technique. IEEE Trans Ind Electron 51(3)
Wilkinson WA, Cox MD (1996) Discrete wavelet analysis of power system transients. IEEE Trans Power Syst 11(4)
Ahamed SK, Karmakar S, Mitra M, Sengupta S (2010) Novel diagnosis technique of mass unbalance in rotor of induction motor by the analysis of motor starting current at no load through wavelet transform. In: 6th International conference on electrical and computer engineering, ICECE 2010, 18–20 Dec 2010, Dhaka, Bangladesh, pp 474–477, 978-1-4244-6279-7/10©2010 IEEE IEEE Xplore
Douglas H, Pillay P (2005) The impact of wavelet selection on transient motor current signature analysis. 0-7803-8987-5/05 ©2005, IEEE
Cusido J, Jornet A, Romeral L, Ortega JA, Garcia A (2006) Wavelet and PSD as a fault detection technique. ITMC 2006-instrumentation and measurement technology conference. Sorrento, Italy. 24–27 Apr 2006
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Karmakar, S., Chattopadhyay, S., Mitra, M., Sengupta, S. (2016). Rotor Mass Unbalance. In: Induction Motor Fault Diagnosis . Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-10-0624-1_5
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DOI: https://doi.org/10.1007/978-981-10-0624-1_5
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