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
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Updated
May 8, 2022 - Jupyter Notebook