Models for bearings damage detection in induction motors using stator current monitoring

Martin Blödt (1) , Pierre Granjon (2) , Bertrand Raison (1) , Gilles Rostaing (1)

1 LEG - Laboratoire d'électrotechnique de Grenoble
2 LIS - Laboratoire des images et des signaux

This paper describes new models for the influence of rolling-element bearing faults on induction motor stator current. Bearing problems are one major cause for drive failures. Their detection is possible by vibration monitoring of characteristic bearing frequencies. As it is possible to detect other machine faults by monitoring the stator current, a great interest exists in applying the same method for bearing fault detection. After a presentation of the existing fault model, a new detailed approach is proposed. It is based on two effects of a bearing fault: the introduction of a particular radial rotor movement and load torque variations caused by the bearing fault. The theoretical study results in new expressions for the stator current frequency content. Experimental tests with artificial and realistic bearing damage were conducted by measuring vibration, torque and stator current. The obtained results by spectral analysis of the measured quantities validate the proposed theoretical approach.

Mots clés: induction motor fault diagnosis; bearing damage; motor current signature analysis; airgap eccentricity; torque variations

Domaines: Autre

Martin Blödt, Pierre Granjon, Bertrand Raison, Gilles Rostaing. Models for bearings damage detection in induction motors using stator current monitoring. IEEE International Symposium on Industrial Electronics (ISIE 2004), 2004, Ajaccio, France. pp.383- 388. ⟨hal-00021303⟩