A Review of Publicly Available Datasets from Manufacturing Systems

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Smart manufacturing systems adapt to changes in the environment, which are detected via sensors. Decisions are then made by the control software of such manufacturing systems, e.g., by integrated AI-based algorithms. The design and evaluation of such algorithms require the availability of high-quality datasets. This paper provides an overview of the existing publicly available manufacturing datasets, offering a detailed exploration of the current landscape of shared data resources in the manufacturing sector and highlighting the utility of these datasets. The review identifies nine notable datasets with extensive documentation and comprehensive data coverage. Each of these datasets is described in detail and can be used for developing intelligent manufacturing systems, assessing their quality, and reporting on open gaps.
Original languageEnglish
Title of host publication2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
EditorsTullio Facchinetti, Angelo Cenedese, Lucia Lo Bello, Stefano Vitturi, Thilo Sauter, Federico Tramarin
Place of PublicationNew York, USA
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)9798350361230
ISBN (Print)979-8-3503-6123-0
DOIs
Publication statusPublished - Oct 2024

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fields of science

  • 102022 Software development
  • 102025 Distributed systems
  • 102029 Practical computer science
  • 202003 Automation
  • 202017 Embedded systems
  • 202041 Computer engineering
  • 102 Computer Sciences

JKU Focus areas

  • Digital Transformation

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