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Bearings are considered as a critical component in Induction Motors (IM). An approach based on Motor current Signature analysis (MCSA) is presented to detect bearing faults (BF). This study is subject for a novel pattern recognition approach for BF detection in IM combining Stationary Wavelet Packet Transform (SWPT) and DAG SVM. Four bearing conditions are tested. As results, it is shown that the...
In most mechanical and electrical systems, reliability is paramount. Consumers, users and operators trust that their product will perform properly over its expected lifetime. Electric Vehicles (EVs) and Hybrid-Electric Vehicles (HEVs) are no exception to this statement. One of the most important components to consider when determining the reliability of EVs and HEVs is the electric motor. Within electric...
Mechanical faults amount to a significant occurrence rate in industrial induction motors. Typically, vibration data analysis has been employed for the detection of this type of failures. However, this technique has some drawbacks (need of sensor installation, difficult discrimination between certain faults, etc…) that may make the application of follow-up diagnostic techniques advisable. In this context,...
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