Sensors, Vol. 21, Pages 5076: Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach

Sensors, Vol. 21, Pages 5076: Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach Sensors doi: 10.3390/s21155076 Authors: Javier Martinez-Roman Ruben Puche-Panadero Angel Sapena-Bano Carla Terron-Santiago Jordi Burriel-Valencia Manuel Pineda-Sanchez Induction machines (IMs) are one of the main sources of mechanical power in many industrial processes, especially squirrel cage IMs (SCIMs), due to their robustness and reliability. Their sudden stoppage due to undetected faults may cause costly production breakdowns. One of the most frequent types of faults are cage faults (bar and end ring segment breakages), especially in motors that directly drive high-inertia loads (such as fans), in motors with frequent starts and stops, and in case of poorly manufactured cage windings. A continuous monitoring of IMs is needed to reduce this risk, integrated in plant-wide condition based maintenance (CBM) systems. Diverse diagnostic techniques have been proposed in the technical literature, either data-based, detecting fault-characteristic perturbations in the data collected from the IM, and model-based, observing the differences between the data collected from the actual IM and from its digital twin model. In both cases, fast and accurate IM models are needed to develop and optimize the fault diagnosis techniques. On the one hand, the finite elements approach can provide highly accurate models, but its computational cost and p...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research
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