A new technique for induction motor fault detection and diagnosis is presented. This technique, which has
been experimentally verified in stationary and non-stationary motor conditions, is based on the convolution
of wavelet-based functions with motor stator currents. These functions are tuned to specific fault frequencies
taking into account motor speed and load torque, thus considering variable operation conditions of the motor.
Based on this technique an automatic system for fault diagnosis is also presented, which is suited for easy
CitationCusido, J. [et al.]. On-line fault detection method for induction machines based on signal convolution. "European transactions on electrical power", 28 Juny 2010, vol. 21, núm. 1, p. 475-488.
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