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Data-driven ensemble deep learning approach for rolling bearing failures monitoring using multiple source data

Pauline Ong, Weng Hong Yap, Woon Kiow Lee, Chee Kiong Sia, Maznan Ismon, Kee Huong Lai

Journal of Quality in Maintenance Engineering 1–17.

https://doi.org/10.1108/JQME-10-2025-0120

Published: 01 July 2026

... variable-speed conditions by addressing the limitations of fixed-speed datasets and single-model deep learning approaches. Design/methodology/approach An ensemble deep learning model (EDLM) is developed by integrating convolutional neural networks (CNN), deep belief networks (DBN) and stacked...

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