GENERATING VIRTUAL SENSORS FOR USE IN INDUSTRIAL MACHINES

An industrial machine (123) may not have a sensor for a particular parameter, so that a computer uses a neural network (473) to virtualize the missing sensor. The computer trains the neural network (373) to provide a parameter indicator (Z′) of a further process parameter (173, z) for the industrial machine (123) with steps that comprise receiving measurement time-series with historical measurement data from reference machines, obtaining transformation rules by processing the time-series to feature series that are invariant to domain differences of the reference machines, transforming time-series by using the transformation rules, receiving a uni-variate time-series of the further process parameter (z), and training the neural network with features series at the input, and with the uni-variate time-series at the output.