GitHub topics: machinery-fault-dataset
mo26-web/Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-Learning
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.
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Related Keywords
anomaly-detection
1
deep-neural-networks
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ensemble-classifier
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ensemble-learning
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fast-fourier-transform
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fault-detection
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fault-diagnosis
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induction-motor
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induction-motor-fault-detection
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logestic-regression
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machinery-condition-monitoring
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machinery-fault-dataset
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random-forest
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stacking-classifier
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stacking-ensemble
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support-vector-machine
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