7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.LG2025
CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis
Qian Chen, Xingjian Dong, Kui Hu +3
Neural networks (NNs), with their powerful nonlinear mapping and end-to-end capabilities, are widely applied in mechanical intelligent fault diagnosis (IFD). However, as typical bl…
cs.LG2024★ 7 cited
Interpreting What Typical Fault Signals Look Like via Prototype-matching
Qian Chen, Xingjian Dong, Zhike Peng
Neural networks, with powerful nonlinear mapping and classification capabilities, are widely applied in mechanical fault diagnosis to ensure safety. However, being typical black-bo…