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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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Hoofdauteurs: Mortda Mohammed Sahib, Philipp Plänitz, Matthias Hackert-Oschätzchen, Christoph Lerez
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2026-03-01
Reeks:Machines
Onderwerpen:
belt systems
CNN–BiLSTM
vibration processing
fault detection
predictive maintenance
cross-validation
Online toegang:https://www.mdpi.com/2075-1702/14/3/348
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