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...

Full description

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

Similar Items

Similar Items