tvhahn / ml-tool-wearLinks
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
☆74Updated 4 years ago
Alternatives and similar repositories for ml-tool-wear
Users that are interested in ml-tool-wear are comparing it to the libraries listed below
Sorting:
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆137Updated 4 years ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆141Updated 4 years ago
- Deep Learning applied to predictive maintenance use cases☆39Updated 5 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆201Updated 10 months 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
- data set for process monitoring on CNC machines☆116Updated last year
- Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To pr…☆54Updated 3 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆30Updated last year
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆29Updated last year
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆163Updated 2 years ago
- This repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algor…☆31Updated 2 years ago
- In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…☆151Updated 3 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆98Updated 2 years ago
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆94Updated 10 months ago
- A curated list of datasets, publically available for machine learning research in the area of manufacturing☆182Updated 3 years ago
- Remaining Useful Life (RUL) prediction for Turbofan Engines☆27Updated 4 years ago
- Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine☆243Updated 5 years ago
- Datasets for Predictive Maintenance☆141Updated 6 months ago
- ☆27Updated 4 years ago
- Machinery data, made easy. Easily download and prepare common industrial datasets.☆23Updated last year
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆26Updated 4 years ago
- Evolutionary Neural Architecture Search for Remaining Useful Life Prediction☆27Updated 2 years ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆21Updated last year
- Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute☆145Updated 7 years ago
- Multiclass bearing fault classification using features learned by a deep neural network.☆35Updated 3 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆22Updated 2 years ago
- Tool wear prediction by residual CNN☆78Updated 4 years ago
- A collection of datasets for RUL estimation as Lightning Data Modules.☆48Updated last year
- ☆24Updated 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