Archivio Istituzionale della RicercaThis repository contains the implementation and analysis code for novelty detection techniques applied to industrial bearing condition monitoring. The work investigates unsupervised machine learning methods for bearing fault detection, comparing ML-based approaches with fixed threshold-based strategies derived from ISO 20816 standards
Novelty Detection in Rotating Machinery: Medium-Sized Industrial Bearings / Di Maggio, Luigi Gianpio. - (2026). [10.5281/zenodo.18377569]
Novelty Detection in Rotating Machinery: Medium-Sized Industrial Bearings
Luigi Gianpio Di Maggio
2026
Abstract
This repository contains the implementation and analysis code for novelty detection techniques applied to industrial bearing condition monitoring. The work investigates unsupervised machine learning methods for bearing fault detection, comparing ML-based approaches with fixed threshold-based strategies derived from ISO 20816 standards
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/11583/3007436