nicolasj92 / industrial-ml-datasetsLinks
A curated list of datasets, publically available for machine learning research in the area of manufacturing
☆171Updated 3 years ago
Alternatives and similar repositories for industrial-ml-datasets
Users that are interested in industrial-ml-datasets are comparing it to the libraries listed below
Sorting:
- A curated collection of public industrial datasets.☆195Updated 3 months ago
- A collection of open datasets for industrial applications, divided by categories☆88Updated 3 years ago
- Datasets for Predictive Maintenance☆125Updated 3 months ago
- data set for process monitoring on CNC machines☆110Updated last year
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆72Updated 4 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆135Updated 4 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆155Updated 2 years ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆196Updated 7 months ago
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆135Updated 4 years ago
- ☆519Updated 5 years ago
- Multiclass classification of vibration signals of faulty bearings☆91Updated 6 years ago
- Papers and datasets for Vibration Analysis☆177Updated 6 months ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆92Updated 2 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
- CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust repr…☆120Updated 4 months ago
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆31Updated last year
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆15Updated last year
- This repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algor…☆29Updated 2 years ago
- Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurI…☆175Updated 2 weeks ago
- University Project for Anomaly Detection on Time Series data☆104Updated last year
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆82Updated 4 years ago
- A collection of datasets for RUL estimation as Lightning Data Modules.☆47Updated last year
- ☆22Updated 3 years ago
- Code and supplementary material complementing the WES-publication: "Change-point detection in wind turbine SCADA data for robust conditio…☆19Updated 3 years ago
- [official] PyTorch implementation of TimeVQVAE-AD, a time series anomaly detection model.☆87Updated 11 months ago
- This repository contains the time series segmentation benchmark (TSSB).☆73Updated 4 months ago
- Time-Series Anomaly Detection Comprehensive Benchmark☆225Updated 9 months ago
- Learning complex time series forecasting models usually requires a large amount of data, as each model is trained from scratch for each t…☆44Updated 3 years ago
- Exploratory Data Analysis of the popular dataset N-CMAPSS (source: https://data.nasa.gov/Aerospace/CMAPSS-Jet-Engine-Simulated-Data/ff5v-…☆13Updated last year
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆83Updated last year