liguge/1D-Grad-CAM-for-interpretable-intelligent-fault-diagnosis
智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis
This project helps engineers and researchers working with machinery to pinpoint the exact location and type of faults using vibration data. You input raw, one-dimensional vibration signals from equipment, and it generates visual maps that highlight which parts of the signal correspond to a specific fault. This allows maintenance professionals to understand why their diagnostic model made a certain prediction.
115 stars. No commits in the last 6 months.
Use this if you need to interpret the decision-making of your fault diagnosis models based on vibration data, especially for small sample sizes.
Not ideal if you are looking for a standalone fault diagnosis model without the need for visual interpretability or if your data is not one-dimensional vibration signals.
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Language
Python
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Last pushed
May 16, 2023
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