A Real-Time Novelty Recognition Framework Based on Machine Learning for Fault Detection

New technologies are developed inside today’s companies with the ascent of Industry 4.0 paradigm; Artificial Intelligence applied to Predictive Maintenance is one of these, helping factories automate their systems in detecting anomalies. The deviation of statistical features from standard operating...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero, Marcello Chiaberge
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-01-01
Serija:	Algorithms
Teme:	predictive maintenance prognostic novelty detection machine learning fault detection anomaly detection
Online dostop:	https://www.mdpi.com/1999-4893/16/2/61
Oznake:	Označite Brez oznak, prvi označite!