Embodiments are directed to a method and system of forecasting a disk drive survival period
in a data storage network, by obtaining operating system data and manufacturer data for the
disk drive to create a dataset, screening the dataset to identify a number of features to be
selected for model creation, wherein the data set includes censored data and non-censored
data, and performing, in an analytics engine, semi-parametric survival analysis on the data
set using transfer learning on the model to provide a time-based failure prediction of the disk …