Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/172167
Título: Immune system inspired smart maintenance framework
Autor: Pulikottil, Terrin
Martínez-Arellano, Giovanna
Barata, José
Palavras-chave: Artificial immune system
Bio-inspired framework
Machine Learning
Predictive maintenance
Smart maintenance
Tool wear monitoring
Control and Systems Engineering
Software
Mechanical Engineering
Computer Science Applications
Industrial and Manufacturing Engineering
SDG 9 - Industry, Innovation, and Infrastructure
Data: Jun-2024
Resumo: As the manufacturing industry is moving towards the fourth industrial revolution, there is an increasing need for smart maintenance systems that could provide manufacturers with a competitive advantage by predicting failures. Despite various efforts by researchers, there are still challenges for these systems to work reliably in the industry such as lack of adaptability, resilience, reaction to disturbances, and future-proofing. Bio-inspired frameworks like artificial immune systems provide an alternative approach to satisfying these challenges. But existing immune-based frameworks focus only on adaptive immunity characteristics and ignore innate immunity which is important for quick detection and faster response. There is a need for a holistic view of the immune system in developing an adaptive & resilient maintenance framework. This paper presents a holistic view of the human immune system with a focus on the intelligence & response mechanism of both innate & adaptive immunity. Inspired by this holistic view and considering the emerging computer technologies — Internet of Things, Edge & Cloud Computing, Multi-Agent System, Ontology, Big Data, Digital Twin, Machine Learning, and Augmented Reality — we present a smart maintenance framework. The proposed framework is used for tool condition monitoring to demonstrate its implementation.
Descrição: Funding Information: Open access funding provided by FCT|FCCN (b-on). Some icons used in the figures were provided by www.flaticon.com and made by Becris, Smashicons, Flat Icons, and Freepik. Publisher Copyright: © The Author(s) 2024.
Peer review: yes
URI: http://hdl.handle.net/10362/172167
DOI: https://doi.org/10.1007/s00170-024-13472-4
ISSN: 0268-3768
Aparece nas colecções:Home collection (FCT)

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