The motor fault daignosis experiment dataset - Zenodoarrow-up-right
Machinery Fault Dataset - Kagglearrow-up-right
Experimental database for detecting and diagnosing rotor broken bar in a three-phase induction motor. - IEEE DataPortarrow-up-right
milank94/motor-fault-classification: The following is a machine learning project to classify induction motor fault modes.arrow-up-right
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.arrow-up-right
Streamlit • The fastest way to build and share data appsarrow-up-right
Prognostics Models Python Package—Prognostics Models Python Package 1.3.1 documentationarrow-up-right
10 Best CFD Analysis Software for Advanced Product Development - Geekflarearrow-up-right
Evolution of Digital Twinarrow-up-right
Introduction of Digital Twinarrow-up-right
How to build Digital Twinarrow-up-right
Last updated 2 years ago