intel-iot-devkit / motor-defect-detector-pythonLinks
Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.
☆29Updated 2 years ago
Alternatives and similar repositories for motor-defect-detector-python
Users that are interested in motor-defect-detector-python are comparing it to the libraries listed below
Sorting:
- ☆46Updated 2 years ago
- Demonstration of MapR for Industrial IoT☆113Updated 2 years ago
- A framework to implement Machine Learning methods for time series data.☆18Updated 2 years ago
- Predictive Maintenance System for Digital Factory Automation☆44Updated 6 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆130Updated 4 years ago
- Analyze vibration/shock signal using python spicy, bumpy and python☆48Updated 8 years ago
- Tool wear prediction by residual CNN☆77Updated 4 years ago
- Deep Learning applied to predictive maintenance use cases☆37Updated 5 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆149Updated 5 years ago
- time-series prediction for predictive maintenance☆51Updated 6 years ago
- A deep learning framework for fault diagnositcs with PyTorch☆50Updated 4 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆69Updated 6 years ago
- Applications of machine learning to vibration and sound analysis☆17Updated 8 years ago
- Vibration Analysis for Fault Detection using STFT, FFT in Python☆22Updated 2 years ago
- Machine learning applied to wind turbines incipient fault detection.☆89Updated 3 years ago
- Data for PHM 2015 data challenge☆14Updated 8 years ago
- Papers and datasets for Vibration Analysis☆177Updated 5 months ago
- ☆42Updated 4 years ago
- Energy Prediction System with a neural network (CNN-LSTM) in a Jetson Nano.☆23Updated 4 years ago
- Anomaly detection in industrial IoT sensors (Collecting data for predictive maintenance)☆11Updated 5 years ago
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆71Updated 4 years ago
- ☆40Updated 3 years ago
- ☆12Updated 3 years ago
- Multivariate Regression and Classification Using an Adaptive Neuro-Fuzzy Inference System (Takagi-Sugeno) and Particle Swarm Optimization…☆51Updated 3 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆160Updated 2 years ago
- Aircraft engine failure prediction model☆29Updated 2 years ago
- Machine Learning Based Unbalance Detection of a Rotating Shaft Using Vibration Data☆41Updated 2 years ago
- Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)☆270Updated last year
- Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets☆29Updated 7 years ago
- A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…☆123Updated 7 years ago