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hello and welcome back letamp;#39;s continue our journey together and letamp;#39;s see how we can identify condition indicators from data that we previously pre-processed so condition indicators or features are fundamental to train any model for predicting maintenance applications in particular we will use condition indicators both to build a classification model and to build a prognostics model so letamp;#39;s go back into matlab and letamp;#39;s see how we can extract features from the data so here we are back in matlab and letamp;#39;s reopen the previous live script so once again we will leverage the four physical cores on our machine to speed up the features extraction process in particular here we use the simulation ensemble datastore to extract features from all the signals that we have generated in simulation so letamp;#39;s open the extract features function and what we do with this function we preallocate a table to collect all the features but mainly what we do we call