This paper proposes a novel method to overcome one of the difficulties arising from the VSI supply of low voltage motors in the early detection of inter-turns stator short circuits, i.e. the presence of a high variability of harmonics both in the stator current and in the external stray flux. A pre-processing technique based on the wavelet decomposition has experimentally proved to be able to remove this variability and therefore to make more robust the diagnostics of this fault and its progression by means of the spectral analysis of each of the measured signals (current of one phase and stray flux measured with two different sensors).
A wavelet-based technique to detect stator faults in inverter-fed induction motors
FROSINI, LUCIA
;ALBINI, ANDREA
2016-01-01
Abstract
This paper proposes a novel method to overcome one of the difficulties arising from the VSI supply of low voltage motors in the early detection of inter-turns stator short circuits, i.e. the presence of a high variability of harmonics both in the stator current and in the external stray flux. A pre-processing technique based on the wavelet decomposition has experimentally proved to be able to remove this variability and therefore to make more robust the diagnostics of this fault and its progression by means of the spectral analysis of each of the measured signals (current of one phase and stray flux measured with two different sensors).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
