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The most bearings diagnosis methodologies has been designed typically by means of vibration analysis, but a numerous studies in the last years are focused in non-invasive techniques Motor Current Signature Analysis (MCSA) based. This paper shows two different methodologies for bearings diagnosis over induction motors by means of the stator Common Mode Current (CMC). It is acquired directly the CMC...
Incipient fault detection and isolation (FDI) in the current sensors of a controlled induction motor is addressed by an original diagnosis system based exclusively on the three-phase signals model. In this way we avoid a reduction in the performance of the FDI system due to the uncertainty in the machine model. Assuming that the three current signals are measured, the proposed FDI system is made of...
The authors propose a new diagnosis method for on-line broken bars detection by parameters estimation. For predictive detection, Kalman filtering algorithm has been adapted to take into account the on-line parameters deviations in faulty case. Within the framework of the diagnosis of the rotor defects, it is difficult to conduct experimental tests to validate the on-line identification of such default...
The paper deals with the diagnostic problems of the converter-fed induction motors in the case of stator faults. For diagnostic purposes the neural detector was developed trained and tested using measurement data of negative components of the stator current and impedance, for different levels of stator failures, load torque and converter frequencies. Feedforward neural network with very simple internal...
Using a flywheel and a squirrel-cage induction motor, this paper proposes two inverter-less applications for electrical power quality improvement by compromising a little frequency fluctuations; (1) a voltage sag compensator using a capacitor self-excited induction generator without semiconductor power converters, (2) blackout delay system for industrial robots safety shutdown. In the first section,...
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