Výsledky vyhledávání - "Andrea Zoccheddu"

Machine Learning Approach Using MLP and SVM Algorithms for the Fault Prediction of a Centrifugal Pump in the Oil and Gas Industry

Autor: Lorenzo Sassu, Pier Francesco Orru, Riccardo Cozza, Carmine Mattia, Simone Arena, Andrea Zoccheddu

Publikováno v: Sustainability, Vol 12, Iss 4776, p 4776 (2020)
Sustainability
Volume 12
Issue 11

The demand for cost-effective, reliable and safe machinery operation requires accurate fault detection and classification to achieve an efficient maintenance strategy and increase performance. Furthermore, in strategic sectors such as the oil and gas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26172ceb0d556219c5a1e0ef2f2b6f9e
https://www.mdpi.com/2071-1050/12/11/4776

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