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Grad-CAM-1D-pytorch

故障诊断(fault diagnosis)
参考了https://github.com/agis09/grad_cam_1d/blob/master/grad_cam.py

不过我感觉最后他求平均的时候有些错误,应该是axis=1,进行求平均。。

这个模型直接输入一维振动信号就可以了。

如果这个项目帮助到你 欢迎cite:

@article{ZHANG2022110242,
title = {Fault diagnosis for small samples based on attention mechanism},
journal = {Measurement},
volume = {187},
pages = {110242},
year = {2022},
issn = {0263-2241},
doi = {https://doi.org/10.1016/j.measurement.2021.110242},
url = {https://www.sciencedirect.com/science/article/pii/S0263224121011507},
author = {Xin Zhang and Chao He and Yanping Lu and Biao Chen and Le Zhu and Li Zhang}
}

@ARTICLE{9374403,
author={Luo, Hao and He, Chao and Zhou, Jianing and Zhang, Li},
journal={IEEE Access},
title={Rolling Bearing Sub-Health Recognition via Extreme Learning Machine Based on Deep Belief Network Optimized by Improved Fireworks},
year={2021},
volume={9},
number={},
pages={42013-42026},
doi={10.1109/ACCESS.2021.3064962},
url = {https://ieeexplore.ieee.org/document/9374403},
}

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故障诊断中一维类梯度激活映射可视化展示

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