نتائج البحث

Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study

• Authors : Aitzaz Ahmed Murtaza; Amina Saher; Muhammad Hamza Zafar

Subjects: Industry 5.0; Predictive maintenance; Condition monitoring

• Source: Results in Engineering, Vol 24, Iss , Pp 102935- (2024)

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Deep learning-based digital twin for intelligent predictive maintenance of rapier loom.

• Authors : Xiao, Yanjun^1,2,3 (AUTHOR) ; Li, Rui¹ (AUTHOR); Zhao, Yue¹ (AUTHOR)

• Source: Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 4, p9409-9430. 22p.

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Towards a Distributed Digital Twin Framework for Predictive Maintenance in Industrial Internet of Things (IIoT).

• Authors : Abdullahi, Ibrahim¹ (AUTHOR) ; Longo, Stefano¹ (AUTHOR); Samie, Mohammad¹ (AUTHOR)

• Source: Sensors (14248220). Apr2024, Vol. 24 Issue 8, p2663. 30p.

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Development of an ontology-based asset information model for predictive maintenance in building facilities

• Authors : Gispert, D. E.; Yitmen, Ibrahim; Sadri, Habib

Subjects: Asset information model; Building facility management; Digital twins

• Source: Smart and Sustainable Built Environment.

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Towards a Distributed Digital Twin Framework for Predictive Maintenance in Industrial Internet of Things (IIoT)

• Authors : Ibrahim Abdullahi; Stefano Longo; Mohammad Samie

Subjects: digital twins; predictive maintenance; wind turbines

• Source: Sensors, Vol 24, Iss 8, p 2663 (2024)

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Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices

• Authors : Nur Haninie Abd Wahab; Khairunnisa Hasikin; Khin Wee Lai

Subjects: Remote monitoring; Maintenance management; Digital twins

• Source: PeerJ Computer Science, Vol 10, p e1943 (2024)

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Smart Predictive Maintenance Enabled by Digital Twins and Physics Informed Smart Big Data

• Authors : Guc, Furkan

Subjects: Mechanical engineering; Engineering; Digital Twins

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Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study /

• Authors : Ahmed Murtaza, Aitzaz; Saher, Amina; Hamza Zafar, Muhammad

Subjects: condition monitoring; digital twins; human-centric design

• Source: Results in engineering., Amsterdam : Elsevier, 2024, vol. 24, art. no. 102935, p. 1-24. ; ISSN 2590-1230

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Predictive Maintenance for Switch Machine Based on Digital Twins

• Authors : Jia Yang; Yongkui Sun; Yuan Cao

Subjects: digital twins; switch machine; predictive maintenance

• Source: Information, Vol 12, Iss 11, p 485 (2021)

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Advanced Artificial Intelligence Techniques for Predictive Maintenance in Automotive Engineering: Models, Applications, and Real-World Case Studies

• Authors : Ekatpure, Rahul

Subjects: Predictive Maintenance; Artificial Intelligence; Machine Learning

• Source: Journal of Science & Technology; Vol. 1 No. 1 (2020): Journal of Science & Technology; 219-241 ; 2582-6921

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