A multi–modal unsupervised fault detection system based on power signals and thermal imaging via deep AutoEncoder neural network

In this paper a multi-modal unsupervised Deep Learning based algorithm for fault detection is proposed. Such method is applied to real data from a testing procedure implemented on an industrial production line. Both thermal images and current and power measurements coming from industrial refrigerato...

Full description

Saved in:

Bibliographic Details
Published in:	Engineering applications of artificial intelligence Vol. 110; p. 104729
Main Authors:	Cordoni, Francesco, Bacchiega, Gianluca, Bondani, Giulio, Radu, Robert, Muradore, Riccardo
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2022
Subjects:	Auto-encoder neural network Deep convolutional neural network Deep Learning Fault detection and isolation Neural networks Predictive maintenance Thermal camera Unsupervised learning Neural networks Fault detection and isolation Auto-encoder neural network Deep convolutional neural network Deep Learning Unsupervised learning Thermal camera Predictive maintenance
ISSN:	0952-1976, 1873-6769
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!