nicolasj92 / industrial-ml-datasets
A curated list of datasets, publically available for machine learning research in the area of manufacturing
☆103Updated 2 years ago
Related projects: ⓘ
- data set for process monitoring on CNC machines☆73Updated 3 months ago
- Datasets for Predictive Maintenance☆97Updated 9 months ago
- A collection of open datasets for industrial applications, divided by categories☆46Updated 2 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆129Updated last year
- Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …☆60Updated 3 years ago
- Code and supplementary material complementing the WES-publication: "Change-point detection in wind turbine SCADA data for robust conditio…☆18Updated 3 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆124Updated 3 years ago
- University Project for Anomaly Detection on Time Series data☆66Updated 2 months ago
- This repository contains code for analyzing the TEP dataset, which is a public dataset for evaluating fault detection and diagnosis algor…☆23Updated last year
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆162Updated last year
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆118Updated 3 years ago
- Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)☆122Updated last month
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆69Updated 3 years ago
- SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.☆318Updated last month
- Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised dee…☆122Updated 2 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆72Updated last year
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆72Updated last year
- ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification☆27Updated 9 months ago
- A curated collection of public industrial datasets.☆66Updated 3 weeks ago
- A collection of datasets for RUL estimation as Lightning Data Modules.☆37Updated 3 months ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆20Updated 3 years ago
- A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (publish…☆91Updated last year
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- Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection☆20Updated 3 years ago
- Package for Time Series Forecasting and Anomaly Detection Problems.☆39Updated 4 months ago
- Early access articles, Journals, and Conferences☆24Updated 3 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆57Updated 4 months ago
- Multiclass classification of vibration signals of faulty bearings☆78Updated 5 years ago
- Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across va…☆17Updated 2 years ago
- Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.☆64Updated 9 months ago