The wide use of the induction motors for industrial and transport applications leads to increase the interest in their monitoring for on-line detection of incipient faults. The traditional diagnostic techniques are based on the stator current or torque spectral analysis by FFT-based methods. However, the well known spectral leakage phenomena of FFT can cause not accurate estimation of the spectral components; moreover, its frequency resolution problems limits a fast detection of the fault condition. In order to solve these problems, this paper presents an high resolution method, the ESPRIT method, to make the fault identification faster and accurate. A proper dynamic model of the induction machine is used to simulate the occurring of a fault condition. Simulation results allow to compare the ESPRIT and FFT-based methods, considering the case of some rotor bars broken.

A High Resolution Method for On Line Diagnosis of Induction Motors Faults

PIEGARI, LUIGI;
2007-01-01

Abstract

The wide use of the induction motors for industrial and transport applications leads to increase the interest in their monitoring for on-line detection of incipient faults. The traditional diagnostic techniques are based on the stator current or torque spectral analysis by FFT-based methods. However, the well known spectral leakage phenomena of FFT can cause not accurate estimation of the spectral components; moreover, its frequency resolution problems limits a fast detection of the fault condition. In order to solve these problems, this paper presents an high resolution method, the ESPRIT method, to make the fault identification faster and accurate. A proper dynamic model of the induction machine is used to simulate the occurring of a fault condition. Simulation results allow to compare the ESPRIT and FFT-based methods, considering the case of some rotor bars broken.
Proceedings of Power Tech 2007
9781424421909
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/503840
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