France1 / predictive-maintenance-pytorchLinks
Deep Learning applied to predictive maintenance use cases
☆37Updated 5 years ago
Alternatives and similar repositories for predictive-maintenance-pytorch
Users that are interested in predictive-maintenance-pytorch are comparing it to the libraries listed below
Sorting:
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆46Updated 2 years ago
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆69Updated 4 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆19Updated 4 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆28Updated last year
- Wind turbine fault detection using one class SVM☆14Updated 3 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆27Updated 4 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆21Updated 2 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆26Updated 3 years ago
- Multiclass bearing fault classification using features learned by a deep neural network.☆34Updated 3 years ago
- ☆15Updated 3 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆84Updated 2 years ago
- This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for exper…☆23Updated 3 years ago
- The objective of the project is to classify steel plates fault into 7 different types. The end goal is to train several machine Learning …☆17Updated 6 years ago
- ☆19Updated 4 years ago
- Machine learning applied to wind turbines incipient fault detection.☆89Updated 3 years ago
- ☆27Updated 4 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆92Updated 5 months ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆144Updated 2 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…