Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring

By Martin Blödt, Pierre Granjon, Bertrand Raison, Gilles Rostaing. IEEE transactions on industrial electronics (1982. Print), 2008

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Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison (2008, background): “In [18] the electromagnetic torque is assumed as a constant value and, as a consequence, the mechanical torque ripple appears straightforward in mechanical speed and mechanical angle.”
Induction machine faults detection using stator current parametric spectral estimation (2015, background): “Concerning the load oscillation, the model presented holds only if the load oscillates at the rotating frequency [41], [42].”
1-D Convolutional Neural Networks for Signal Processing Applications (2019, methodology): “Kiranyaz 28 For the motor fault detection, the average execution times (in msec) of: Leftmost bar plot 1: the 1D CNN method, bar plots and competing algorithms [1-4]”
Advances in Diagnostic Techniques for Induction Machines (2008, background): “If the load torque presents an oscillation for other mechanical reasons, because the frequencies related to the eccentricity and to the load torque overlap on the current sidebands, the frequencies provided by (22) are no longer enough for the diagnosis [52], [54], [59].”