Abstract—This paper describes new models for the influence of rolling-element bearing faults on induction motor stator cur-rent. Bearing problems are one major cause for drive failures. Their detection is possible by vibration monitoring of charac-teristic bearing frequencies. As it is possible to detect other ma-chine 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 stato...
Bearing faults are the most frequent faults of induction motors. The current spectrum analysis is an...
The paper discusses results of tests performed by authors, related to the engine bearings diagnostic...
International audienceIn this paper, we propose to perform early fault diagnosis using high-resoluti...
Abstract—This paper describes a new analytical model for the influence of rolling-element bearing fa...
International audienceThis paper describes new models for the influence of rolling-element bearing f...
This paper proposes a new approach to use stator current and efficiency of induction motors as indic...
The aim of this paper is to verify the effectiveness of the stator current analysis for the detectio...
Early diagnosis of faults in induction machines is an extensively investigated field, for cost and m...
International audienceMany industrial applications use the induction machine for its advantages, lik...
Early diagnosis of faults in induction machines is an extensively investigated field, for cost and m...
Abstract- Rolling element bearings are critical components in induction motors and monitoring their ...
Mechanical imbalances and bearing faults account for a large majority of the faults in a machine, pa...
This paper deals with the application of motor current spectral analysis for the detection of rollin...
Mechanical imbalances and bearing faults account for a large majority of faults in a machine, especi...
Continuous condition assessment of induction motors is very important due to its potential to reduce...
Bearing faults are the most frequent faults of induction motors. The current spectrum analysis is an...
The paper discusses results of tests performed by authors, related to the engine bearings diagnostic...
International audienceIn this paper, we propose to perform early fault diagnosis using high-resoluti...
Abstract—This paper describes a new analytical model for the influence of rolling-element bearing fa...
International audienceThis paper describes new models for the influence of rolling-element bearing f...
This paper proposes a new approach to use stator current and efficiency of induction motors as indic...
The aim of this paper is to verify the effectiveness of the stator current analysis for the detectio...
Early diagnosis of faults in induction machines is an extensively investigated field, for cost and m...
International audienceMany industrial applications use the induction machine for its advantages, lik...
Early diagnosis of faults in induction machines is an extensively investigated field, for cost and m...
Abstract- Rolling element bearings are critical components in induction motors and monitoring their ...
Mechanical imbalances and bearing faults account for a large majority of the faults in a machine, pa...
This paper deals with the application of motor current spectral analysis for the detection of rollin...
Mechanical imbalances and bearing faults account for a large majority of faults in a machine, especi...
Continuous condition assessment of induction motors is very important due to its potential to reduce...
Bearing faults are the most frequent faults of induction motors. The current spectrum analysis is an...
The paper discusses results of tests performed by authors, related to the engine bearings diagnostic...
International audienceIn this paper, we propose to perform early fault diagnosis using high-resoluti...