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

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...

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Bibliographic Details
Main Authors: Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero, Marcello Chiaberge
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Algorithms
Subjects:
predictive maintenance
prognostic
novelty detection
machine learning
fault detection
anomaly detection
Online Access:https://www.mdpi.com/1999-4893/16/2/61

Internet

https://www.mdpi.com/1999-4893/16/2/61

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