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AI Overview: Methods and Structures
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-7233-6916
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-3610-4680
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-5341-3656
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-8466-356X
2021 (English)In: AI and Learning Systems - Industrial Applications and Future Directions / [ed] Konstantinos Kyprianidis and Erik Dahlquist, IntechIntechOpen , 2021, 1Chapter in book (Refereed)
Abstract [en]

This paper presents an overview of different methods used in what is normally called AI-methods today. The methods have been there for many years, but now have built a platform of methods complementing each other and forming a cluster of tools to be used to build “learning systems”. Physical and statistical models are used together and complemented with data cleaning and sorting. Models are then used for many different applications like output prediction, soft sensors, fault detection, diagnostics, decision support, classifications, process optimization, model predictive control, maintenance on demand and production planning. In this chapter we try to give an overview of a number of methods, and how they can be utilized in process industry applications.

Place, publisher, year, edition, pages
IntechIntechOpen , 2021, 1.
Keywords [en]
process industry, artificial intelligence (AI), learning system, soft sensors, machine learning
National Category
Engineering and Technology Computer Sciences
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-53499DOI: 10.5772/intechopen.90741ISBN: 978-1-78985-877-8 (print)ISBN: 978-1-83968-601-6 (print)OAI: oai:DiVA.org:mdh-53499DiVA, id: diva2:1529924
Funder
EU, Horizon 2020, 723523Available from: 2021-02-19 Created: 2021-02-19 Last updated: 2021-03-12Bibliographically approved

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Dahlquist, ErikRahman, MoksadurSkvaril, JanKyprianidis, Konstantinos

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