jonathanwvd / awesome-industrial-datasetsLinks
A curated collection of public industrial datasets.
☆258Updated 2 months ago
Alternatives and similar repositories for awesome-industrial-datasets
Users that are interested in awesome-industrial-datasets are comparing it to the libraries listed below
Sorting:
- A collection of open datasets for industrial applications, divided by categories☆97Updated 3 years ago
- A curated list of datasets, publically available for machine learning research in the area of manufacturing☆180Updated 3 years ago
- Datasets for Predictive Maintenance☆138Updated 5 months ago
- data set for process monitoring on CNC machines☆114Updated last year
- This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.☆139Updated 4 years ago
- Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.☆35Updated last year
- Exploratory Data Analysis of the popular dataset N-CMAPSS (source: https://data.nasa.gov/Aerospace/CMAPSS-Jet-Engine-Simulated-Data/ff5v-…☆13Updated last year
- CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust repr…☆131Updated 7 months ago
- ☆24Updated 4 years ago
- ☆92Updated 3 years ago
- Time-Series Anomaly Detection Comprehensive Benchmark☆235Updated last month
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆81Updated 4 years ago
- ☆532Updated 6 years ago
- University Project for Anomaly Detection on Time Series data☆114Updated last year
- The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computatio…☆105Updated 4 months ago
- pyTEP is an open-source simulation API for the Tennessee Eastman process in Python. It facilitates the setup of complex simulation scenar…☆30Updated 3 years ago
- Jithsaavvy / Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-projectThis research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and pro…☆29Updated 3 years ago
- collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset☆137Updated 4 years ago
- A list of (post-hoc) XAI for time series☆162Updated last year
- Papers and datasets for Vibration Analysis☆194Updated 9 months ago
- Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'☆21Updated last year
- list of open wind turbine data sets☆175Updated 5 months ago
- This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.☆201Updated 9 months ago
- Public datasets for time series anomaly detection☆131Updated last month
- Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"☆85Updated last year
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆98Updated 2 years ago
- TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark☆176Updated last week
- 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
- This repository contains the time series segmentation benchmark (TSSB).☆78Updated 7 months ago
- Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT☆145Updated 3 years ago