I would like to ask you a few questions about “Temporal Classification of Turbofan Engine Health using Elman Recurrent Network”

[fengxy369]

Hello. I would like to ask you a few questions about your code and paper:
(1) When classifying c-mapss data sets, do you deal with the problem of "multivariate Time series classification (MTSC)" of engine states in a period of time (specific cycle length N* number of sensors S)? Or are you classifying the status for the current life cycle (1* the number of sensors S)?
(2) Your paper mentions that "you collect the classification results of the Ellman network within a predefined time window, and then, take the decision of the final classifier as the most frequent class label within the time window". I mean, what does this label refer to? Is it the result of a moment in the window, or is it the result of the classification of time series over the entire window of time?