NDLI: Analysis techniques for detection of IM broken rotor bars after supply disconnection

Content Provider	IEEE Xplore Digital Library
Author	Cupertino, F. de Vanna, E. Salvatore, L. Stasi, S.
Copyright Year	2003
Description	Author affiliation: Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy (Cupertino, F.; de Vanna, E.; Salvatore, L.; Stasi, S.)
Abstract	This paper presents some analysis techniques of the space-vector of voltages induced in the stator windings after supply disconnection, to detect broken rotor bars in squirrel cage induction machines. When the motor is disconnected from the supply no currents flow in the stator windings and the voltages measurable at its terminals are due to flux produced by rotor currents. When the rotor is healthy, the voltages measured at motor terminals are almost sinusoidal because of the symmetry of rotor windings. When there are broken rotor bars, the magneto-motive force (m.m.f.) generated by rotor windings results distorted, and some particular harmonics, contained in the voltages induced in the stator windings, increase their amplitudes. The diagnostic technique is based on monitoring these voltage harmonics and analyzing the space vector of the voltages induced in the stator windings via MUSIC pseudospectrum and Short-Time MUSIC (STMUSIC) time-frequency pseudo-representation. The MUSIC algorithm is based on the eigen-analysis of the autocorrelation matrix, and permits to evidence the principal harmonic frequencies of the signal and decrease the noise influence, thus allowing a better detection of the broken rotor bars. The results obtained using MUSIC and STMUSIC algorithm have been compared experimentally with those obtained by FFT and STFFT respectively, and two different sized induction motors have been tested, to demonstrate the superiority of the former approach. Differently from most of the diagnostic techniques already proposed in the technical literature, the proposed approach is effective regardless the load condition of the machine, source characteristics and iron saturation.
Starting Page	1360
Ending Page	1367
File Size	488673
Page Count	8
File Format	PDF
ISBN	0780378830
DOI	10.1109/IAS.2003.1257728
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rotors Stator windings Signal processing algorithms Voltage Frequency Multiple signal classification Induction machines Distortion measurement Monitoring Bars
Content Type	Text
Resource Type	Article

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