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Article
Farooq, Umer, Ademola, Moses and Shaalan, Abdu (2024) Comparative Analysis of Machine Learning Models for Predictive Maintenance of Ball Bearing Systems. Electronics, 13 (2). pp. 1-16. ISSN 2079-9292
Book Section
Shaalan, Abdu, Baglee, David and Dixon, Derek (2024) Machine learning model for predictive maintenance of modern manufacturing assets. In: 2024 29th International Conference on Automation and Computing (ICAC). IEEE, pp. 1-6. ISBN 979-8-3503-6088-2
Shaalan, Abdu, Baglee, David and Dixon, Derek (2024) Machine learning model for predictive maintenance of modern manufacturing assets. In: 2024 29th International Conference on Automation and Computing (ICAC). IEEE. (Submitted)
Shaalan, Abdu, Morris, Adrian, Osarumen, Ogbomo, Baglee, David and Dixon, Derek (2024) A Comparative Analysis of Condition Monitoring Techniques for Predictive Maintenance in bearings’ failure prevention. In: 2024 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). IEEE. (Submitted)
Shaalan, Abdu and Baglee, David (2024) Condition Monitoring in the Advances of Industry 4.0—Case Study. In: Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023). TEPEN IncoME-V DAMAS 2023 2023 2023. Mechanisms and Machine Science (152). Spinger, pp. 1-12. ISBN 978-3-031-49421-5
Shaalan, Abdu, Baglee, David and Knowles, Michael (2020) Are we ready for Industry 4.0? In: Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies (166). Springer, pp. 1-9. ISBN 978-3-030-57745-2
Shaalan, Abdu, Baglee, David, Knowles, Michael and Marttonen-Arola, Salla (2020) Development of Modern Maintenance Management Strategy for Complex Manufacturing Assets. In: Engineering Assets and Public Infrastructures in the Age of Digitalization. ecture Notes in Mechanical Engineering. . Springer, pp. 493-499. ISBN 978-3-030-48021-9
Conference or Workshop Item
Shaalan, Abdu, Baglee, David and Dixon, Derek (2022) Development of maintenance framework for modern manufacturing systems. In: BINDT conference, 07-09 June 2022, London.