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A new collaborative lifelong learning framework based on channel distillation and pseudo-feature replay for class-incremental bearing fault diagnosis

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Structural Health Monitoring: An International Journal

Published online on

Abstract

Structural Health Monitoring, Ahead of Print.
Deep learning has achieved notable advancements in mechanical fault diagnosis and health monitoring. However, in real-world industrial settings, machinery may develop new fault types that models fail to recognize, resulting in diminished performance and ...