Jupyter Notebook Data Preprocessing for RUL Prediction

This code block prompts the user to enter a dataset from the options 'FD001', 'FD002', 'FD003', or 'FD004'. It then sets a list of sensors to work with, a sequence length, a smoothing intensity, and a maximum RUL (remaining useful life).

The function utils.get_data() is then called with the specified parameters to obtain the training, validation, and testing data for the selected dataset and sensors. The resulting data is assigned to x_train, y_train, x_val, y_val, x_test, and y_test.