Examining Attribution Reliability Through Cutting-Speed Classification as a Benchmark Task: Comparing 1D-CNN, LSTM, and Fully Connected Networks on 17-4PH Milling Force Signals
Deep learning has achieved high accuracy in machining condition monitoring, yet accuracy alone cannot reveal whether a model relies on physically meaningful evidence or on dataset shortcuts. The difficulty is that common tasks such as tool-wear and surface-roughness estimation lack a known ground-truth basis for discri...
Shih-Feng Chen, WU Bo-xuan, Sin-Wei Chen et al.
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