RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN
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foryichuanqi
The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Inte...
File "C:\Users\Liyanhui\.conda\envs\tensor\lib\site-packages\matplotlib\pyplot.py", line 1005, in figure manager = new_figure_manager( File "C:\Users\Liyanhui\.conda\envs\tensor\lib\site-packages\matplotlib\pyplot.py", line 527, in new_figure_manager _warn_if_gui_out_of_main_thread() File "C:\Users\Liyanhui\.conda\envs\tensor\lib\site-packages\matplotlib\pyplot.py", line 504, in _warn_if_gui_out_of_main_thread canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas) File "C:\Users\Liyanhui\.conda\envs\tensor\lib\site-packages\matplotlib\pyplot.py", line 348,...
Traceback (most recent call last): File "D:/Download files/wenxiandaima/FCN/code/figure/interpretability_TaNet_analysis.py", line 207, in model=keras.models.load_model(r"..\..\model\interpretability_TaNet\{}.h5".format(model_name),custom_objects={'root_mean_squared_error': root_mean_squared_error}) File "C:\Users\Liyanhui\.conda\envs\tensor\lib\site-packages\keras\engine\saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "C:\Users\Liyanhui\.conda\envs\tensor\lib\site-packages\keras\engine\saving.py", line 224, in _deserialize_model...
Traceback (most recent call last): File "D:\Download files\wenxiandaima\FCN\code\grid_FD_multi_channel_one_FCN_RUL_A2_attention_1out_all_train_for_test.py", line 431, in plot_model(model, to_file=last_path+r"\Flatten.png", show_shapes=True)#########to_file='Flatten.png',last_path+r"\model\FCN_RUL_1out_train_valid_test\{}.h5 File "C:\Users\Liyanhui\.conda\envs\tensor\lib\site-packages\keras\utils\vis_utils.py", line 421, in plot_model dot = model_to_dot( File "C:\Users\Liyanhui\.conda\envs\tensor\lib\site-packages\keras\utils\vis_utils.py", line 151, in model_to_dot if...
interpretability_analysis.py ValueError: Found unexpected instance while processing input tensors for keras functional model. Expecting KerasTensor which is from tf.keras.Input() or output from keras layer call(). Got: 0 How to solve...
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The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Inte...