datasets.md

Public industrial datasets and benchmarks

Here we propose datasets applicable for benchmarking of the following industrial problems:

• Recommendations and Optimisations
• Anomaly detection (faults and failures)
• RUL (remaining usefull life) and TTF (time-to-failure)
• Product quality
• Safety and access control
• Other

Tags

• Sector
  • metallurgy
  • oil&gas
  • chemical
  • mechanical
  • energetics
  • other sectors

Repositories with datasets and overviews

• awesome-TS-anomaly-detection - List of tools & datasets for anomaly detection on time-series data.
• Anomaly Detection Learning Resources - Anomaly detection related books, papers, videos, and toolboxes
• Awesome Public Industrial Datasets - A list of awesome-public-datasets found in the industry and their descriptions.
• Industrial ML Datasets - A curated list of datasets, publically available for machine learning research in the area of manufacturing
• Industrial Control System (ICS) Cyber Attack Datasets - Several datasets for intrusion detection produced by the Critical Infrastructure Protector Center at the Mississippi State University (MSU).
• (Wikipedia) List of datasets for machine-learning research - These datasets are used for machine-learning research and have been cited in peer-reviewed academic journals.
• The UCI Machine Learning Repository - The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
• UCR Time Series Classification Archive
• UEA & UCR Time Series Classification Repository - This website is an ongoing project to develop a comprehensive repository for research into time series classification.
• Robert T. Olszewski’s homepage - The following databases are available for download: Wafer Database and ECG Database.
• On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study
• Outlier Detection DataSets (ODDS) - In ODDS, we openly provide access to a large collection of outlier detection datasets with ground truth (if available).

Datasets

Recommendations, Optimisations and Forcasting

• Ladle-furnace unit - Process characteristics forecasting
• Industrial Data from the Electric Arc Furnace - Process characteristics forecasting

Anomaly detection (faults and failures) and process monitoring

• Skoltech Anomaly Benchmark (SKAB) - Process monitoring (changepoint detection and outlier detection)
• Skoltech Anomaly Benchmark (SKAB) teaser - Process monitoring (changepoint detection and outlier detection)
• Tennessee Eastman process (TEP) - Process monitoring (changepoint detection and outlier detection)
• Numenta Anomaly Benchmark (NAB) - Anomaly detection (changepoint detection)
• NPP power transformer - Anomaly detection and diagnosis (classification)
• NASA Shuttle Valve Data - Process monitoring (outlier detection)
• Soil Moisture Active Passive satellite and the Curiosity Rover on Mars - Anomaly detection
• Vessels anomaly detection - Anomaly detection
• NASA Milling Dataset - Tool wear detection
• Ball bearing data for normal and faulty bearings by Bearing Data Center - Anomaly detection
• Shaft Angular Misalignment Dataset - Anomaly detection and diagnosis
• Shaft Misalignment Data for: Inter-component Phase Processing of Quasipolyharmonic Signals - Anomaly detection and diagnosis
• Shaft orbits dataset: parallel and angular misalignment - Anomaly detection
• Vibration of bearing under conditions of moderately variated shaft speed - Process monitoring (outlier detection)
• Vibration of bearing under conditions of constant shaft speed - Process monitoring (outlier detection)
• Vibration of rolling bearings under widely varying speed conditions - Process monitoring (outlier detection)
• Bearing 6213 Norm/OR Dataset - Anomaly detection
• Case Western Reserve University (CWRU) bearing fault dataset - Anomaly detection
• MFPT dataset - Anomaly detection
• MAFAULDA :: Machinery Fault Database - Anomaly detection

Product quality

• Bosch Production Line Performance - Product quality prediction

RUL (remaining usefull life) and TTF (time-to-failure)

• NPP power transformer RUL - RUL determining
• NASA Turbofan Jet Engine Data Set (C-MAPSS) - RUL determining + Challenge on this dataset
• NASA Bearing Dataset - RUL determining
• Battery Remaining Useful Life - RUL determining
• Water Pump RUL - RUL determining
• RUL Dataset from Continuous Casting Machine - RUL determining