Condition Monitoring Model Development for Belt Systems Using Hybrid CNN–BiLSTM Deep-Learning Techniques

Predictive maintenance aims to monitor equipment conditions through data-driven analysis and estimate failure in advance, which enables the scheduling of maintenance prior to equipment breakdown. In this work, a deep-learning neural network is used to predict the condition of the belt-drive system....

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Bibliographic Details

Main Authors:	Mortda Mohammed Sahib, Philipp Plänitz, Matthias Hackert-Oschätzchen, Christoph Lerez
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2026-03-01
Series:	Machines
Subjects:	belt systems CNN–BiLSTM vibration processing fault detection predictive maintenance cross-validation
Online Access:	https://www.mdpi.com/2075-1702/14/3/348
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