Advanced ML for predictive maintenance: a case study on remaining useful life prediction and reliability enhancement
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13351-y.pdf
Reference27 articles.
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3. Meddaoui A, Hachmoud A, Hain M (2023) The benefits of predictive maintenance in manufacturing excellence: a case study to establish reliable methods for predicting failures. Intl J Adv Manuf Technol 128:3685–3690
4. Medjaher K, Tobon-Mejia DA, Zerhouni N (2012) Remaining useful life estimation of critical components with application to bearings. IEEE J Trans Reliab 61(2):292–302
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1. Correction to: Advanced ML for predictive maintenance: a case study on remaining useful life prediction and reliability enhancement;The International Journal of Advanced Manufacturing Technology;2024-04-03
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