TY - JOUR
T1 - Immune system inspired smart maintenance framework
T2 - tool wear monitoring use case
AU - Pulikottil, Terrin
AU - Martínez-Arellano, Giovanna
AU - Barata, José
N1 - info:eu-repo/grantAgreement/EC/H2020/814078/EU#
Funding Information:
Open access funding provided by FCT|FCCN (b-on).
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Publisher Copyright:
© The Author(s) 2024.
PY - 2024/6
Y1 - 2024/6
N2 - 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.
AB - 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.
KW - Artificial immune system
KW - Bio-inspired framework
KW - Machine Learning
KW - Predictive maintenance
KW - Smart maintenance
KW - Tool wear monitoring
UR - http://www.scopus.com/inward/record.url?scp=85191184902&partnerID=8YFLogxK
U2 - 10.1007/s00170-024-13472-4
DO - 10.1007/s00170-024-13472-4
M3 - Article
AN - SCOPUS:85191184902
SN - 0268-3768
VL - 132
SP - 4699
EP - 4721
JO - International Journal Of Advanced Manufacturing Technology
JF - International Journal Of Advanced Manufacturing Technology
IS - 9-10
ER -