An EWS-LSTM-Based Deep Learning Early Warning System for Industrial Machine Fault Prediction

An EWS-LSTM-Based Deep Learning Early Warning System for Industrial Machine Fault Prediction

Early warning systems (EWSs) are crucial for optimising predictive maintenance strategies, especially in the industrial sector, where machine failures often cause significant downtime and economic losses. This research details the creation and evaluation of an EWS that incorporates deep learning met...

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Bibliographic Details
Main Authors: Fabio Cassano, Anna Maria Crespino, Mariangela Lazoi, Giorgia Specchia, Alessandra Spennato
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
early warning system
time-series analysis
LSTM
predictive maintenance
big data analytics
Online Access:https://www.mdpi.com/2076-3417/15/7/4013
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