# PHM in Motor

## Fault Detection in Motor Dataset

* [The motor fault daignosis experiment dataset - Zenodo](https://zenodo.org/record/3553755)
* [Machinery Fault Dataset - Kaggle](https://www.kaggle.com/datasets/uysalserkan/fault-induction-motor-dataset)
* [Experimental database for detecting and diagnosing rotor broken bar in a three-phase induction motor. - IEEE DataPort](https://ieee-dataport.org/open-access/experimental-database-detecting-and-diagnosing-rotor-broken-bar-three-phase-induction)
* [milank94/motor-fault-classification: The following is a machine learning project to classify induction motor fault modes.](https://github.com/milank94/motor-fault-classification)
* [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.](https://github.com/mo26-web/Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-Learning)

## Data Streaming

* [Streamlit • The fastest way to build and share data apps](https://streamlit.io/)

## PHM

* [Prognostics Models Python Package—Prognostics Models Python Package 1.3.1 documentation](https://nasa.github.io/prog_models/index.html)

## CFD

* [10 Best CFD Analysis Software for Advanced Product Development - Geekflare](https://geekflare.com/best-cfd-analysis-software/)

## Digital Twin

* [Evolution of Digital Twin](https://odsc.medium.com/evolution-of-digital-twins-5df92006878b)
* [Introduction of Digital Twin](https://www.geeksforgeeks.org/introduction-to-digital-twin/)
* [How to build Digital Twin](https://towardsdatascience.com/how-to-build-a-digital-twin-b31058fd5d3e)


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