Multimodal bearing fault classification under variable conditions: A 1D CNN with transfer learning

Bearings play an integral role in ensuring the reliability and efficiency of rotating machinery — reducing friction and handling critical loads. Bearing failures that constitute up to 90% of mechanical faults highlight the imperative need for reliable condition monitoring and fault detection. This s...

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Bibliographic Details
Main Authors: Tasfiq E. Alam, Md Manjurul Ahsan, Shivakumar Raman
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827025000659
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