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Identifying Significance of Human Cognition in Future Maintenance Operations
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. (Maintenance Ergonomics)ORCID iD: 0000-0001-8693-3431
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2018 (English)In: Intelligent Human Systems Integration / [ed] W. Karwowski and T. Ahram (eds.), India: Springer, 2018Chapter in book (Refereed)
Abstract [en]

Industrial maintenance in future will operate heavily with intelligent systems. Advanced sensor networks on machines will enable them communicate and learn about failure types, predict consequences and share solutions. Humans on the other hand are equipped with intuitive cognition that facilitates acquisition of knowledge about unique characteristics of individual machines, and use this knowledge in maintenance problem solving. In this article, we identify two major opportunities to collaborate human intuitive cognition with intelligent systems for future maintenance solutions.

Place, publisher, year, edition, pages
India: Springer, 2018.
Series
Advances in Intelligent Systems and Computing, 722
Keyword [en]
Industry 4.0, Maintenance, Intelligent systems, Intuitive cognition
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-67026DOI: 10.1007/978-3-319-73888-8_86ISBN: 978-3-319-73887-1 (electronic)OAI: oai:DiVA.org:ltu-67026DiVA: diva2:1166507
Available from: 2017-12-15 Created: 2017-12-15 Last updated: 2017-12-15

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