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OverviewBased on practical field experience and several case studies, this book presents state-of-the-art artificial intelligence techniques, validating their efficiency and accuracy in real-world industrial applications. The authors show how a meta-heuristic approach can enhance automatic fault monitoring in man-made systems. For each phase of fault monitoring, they propose a meta-heuristic approach that is tested experimentally in an actual industrial environment. While the proposed methods are validated on specific industrial problems, their applicability is wide and general. Full Product DetailsAuthor: Pasquale Arpaia (Universita del Sannio, Benevento, Italy) , Carlo Manna (University College Cork, Ireland) , Annalisa LiccardoPublisher: Taylor & Francis Inc Imprint: CRC Press Inc ISBN: 9781466555310ISBN 10: 1466555319 Pages: 272 Publication Date: 01 January 2021 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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