Toward an Adaptive Approach to Implement Predictive Maintenance in Metallurgical Industry SMEs Through IoT and AI
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-94335-6_38
Reference17 articles.
1. Ben-Daya, M., Kumar, U., Murthy, D.: Introduction to Maintenance Engineering, pp. 2–3. John Wiley & Sons Inc, Hoboken (2016)
2. Dhillon, B.: Maintainability, Maintenance, and Reliability for Engineers. CRC Press, p. 5 (2019)
3. Pertselakis, M., Lampathaki, F., Petrali, P.: Predictive Maintenance in a Digital Factory Shop-Floor: Data Mining on Historical and Operational Data Coming from Manufacturers’ Information Systems. In: Proper, H.A., Stirna, J. (eds.) Advanced Information Systems Engineering Workshops: CAiSE 2019 International Workshops, Rome, Italy, June 3-7, 2019, Proceedings, pp. 120–131. Springer International Publishing, Cham (2019). https://doi.org/10.1007/978-3-030-20948-3_11
4. Selcuk, S.: Predictive maintenance, its implementation and latest trends. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 231(9), 1670–1679 (2016). https://doi.org/10.1177/0954405415601640
5. Galar, D.: Maintenance Costs and Life Cycle Cost Analysis. CRC Press (2020)
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1. A Systematic Mapping Study of Predictive Maintenance in SMEs;IEEE Access;2022
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