What are the interpretable fault diagnosis methods based on LIME?
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Interpretable fault diagnosis methods based on LIME have not been mentioned in the provided abstracts.
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| Papers (5) | Insight |
|---|---|
3 Citations | The provided paper does not mention any interpretable fault diagnosis methods based on LIME. The paper proposes a fault diagnosis method based on multi-model fusion using FunkSVD matrix decomposition and extreme gradient boosting tree models. |
| The paper does not mention any interpretable fault diagnosis methods based on LIME. The paper proposes an order-invariant and interpretable dilated convolution neural network (OIDLCNN) with Shapley additive explanations (SHAP) for fault detection and diagnosis in chemical processes. | |
| The provided paper does not mention any interpretable fault diagnosis methods based on LIME. The paper is about an interpretable wavelet packet kernel-constrained convolutional network for noise-robust fault diagnosis. | |
| The paper does not mention any interpretable fault diagnosis methods based on LIME. The paper is about an explainable deep ensemble model for bearing fault diagnosis. | |
| The provided paper does not mention any interpretable fault diagnosis methods based on LIME. The paper proposes a method called WavCapsNet for interpretable compound fault diagnosis using backward tracking. |
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