A New Data Analytics Framework Emphasising Pre-processing in Learning AI Models for Complex Manufacturing Systems

Caoimhe M. Carbery*, Roger Woods, Adele H. Marshall

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
154 Downloads (Pure)

Abstract

Recent emphasis has been placed on improving the processes in manufacturing by employing early detection or fault prediction within production lines. Whilst companies are increasingly including sensors to record observations and measurements, this brings challenges in interpretation as standard approaches for artificial intelligence (AI) do not highlight the presence of unknown relationships. To address this, we propose a new data analytics framework for predicting faults in a large-scale manufacturing system and validate it using a publicly available Bosch manufacturing dataset with a focus on pre-processing of the data.
Original languageEnglish
Title of host publicationIntelligent Computing and Internet of Things - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings
EditorsZhile Yang, Dongsheng Yang, Kang Li, Minrui Fei, Dajun Du
PublisherSpringer-Verlag
Pages169-179
Number of pages11
ISBN (Print)9789811323836
DOIs
Publication statusPublished - 04 Sep 2018
Event1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018 - Chogqing, China
Duration: 21 Sep 201823 Sep 2018

Publication series

NameCommunications in Computer and Information Science
Volume924
ISSN (Print)1865-0929

Conference

Conference1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018
CountryChina
CityChogqing
Period21/09/201823/09/2018

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Carbery, C. M., Woods, R., & Marshall, A. H. (2018). A New Data Analytics Framework Emphasising Pre-processing in Learning AI Models for Complex Manufacturing Systems. In Z. Yang, D. Yang, K. Li, M. Fei, & D. Du (Eds.), Intelligent Computing and Internet of Things - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Proceedings (pp. 169-179). (Communications in Computer and Information Science; Vol. 924). Springer-Verlag. https://doi.org/10.1007/978-981-13-2384-3_16