MetroPT Predictive Maintenance Using Logistic Regression and Random Forest with Isolation Forest Preprocessing
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3180-0_33
Reference18 articles.
1. Veloso B, Gama J, Ribeiro R, Pereira P (2022) MetroPT: a benchmark dataset for predictive maintenance [data set]. Zenodo. https://doi.org/10.5281/zenodo.6854240
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3. Davari N, Veloso B, Costa G, Pereira P, Ribeiro R, Gama J (2021) A survey on data-driven predictive maintenance for the railway industry. Sensors 21:5739. https://doi.org/10.3390/s21175739
4. Archit K, Ashutosh K, Advait K, Sarish N, Pranjali J (2022) Predictive maintenance using machine learning. https://doi.org/10.48550/arXiv.2205.09402
5. Paolanti M, Romeo L, Felicetti A, Mancini A, Frontoni E, Loncarski J (2018) Machine learning approach for predictive maintenance in industry 4.0. In: 2018 14th IEEE/ASME international conference on mechatronic and embedded systems and applications (MESA), Oulu, Finland, pp 1–6. https://doi.org/10.1109/MESA.2018.8449150
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