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machinery-fault-dataset

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mo26-web / Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-Learning

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This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

deep-neural-networks random-forest fast-fourier-transform ensemble-learning support-vector-machine anomaly-detection ensemble-classifier fault-detection induction-motor fault-diagnosis stacking-ensemble machinery-condition-monitoring logestic-regression stacking-classifier induction-motor-fault-detection machinery-fault-dataset
  • Updated May 8, 2022
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