The invention relates to a method for the automated determination of characteristic curves and/or characteristic maps of devices, which comprises the following method steps: acquisition of a measurement data set, execution of an iteration method with the iteration steps calculation of an iteration result from the measurement data set using a neural network, acquisition of a termination parameter, checking the termination parameter and terminating the iteration method if the termination parameter matches a termination criterion, as well as the optical visualization of the iteration result and the measurement data set and repeating the iteration steps.

A system, method, and/or apparatus is provided for production processes in which online frequently derived measurements are determined use existing online and/or offline reference measurements and real-time and/or historical data to model process variables and/or product properties to achieve enhanced production goals.

An external modelling method, including applying to a nose of initial external shape F.sub.0, at least two modelling instruments I, to guide the growth of the nose cartilage and thus obtain a target final external nose shape F.sub.f when the individual has stopped growing, which differs from a natural external shape F.sub.n, which would be obtained naturally in the absence of intervention. A set of modelling instruments is provided, the successive shapes of which are determined to represent an evolving succession of one or more target intermediate shapes F, from the initial external nose shape F.sub.0 through to the target final external shape F.sub.f. A method of producing the modelling instruments is provided, during which method, starting from the initial external nose shape F.sub.0, a target final shape F.sub.f and at least one target intermediate shape F are determined. The instruments corresponding to each target shape are manufactured.

A method of performing maintenance. Data is received from a plurality of physical sensors that measure parameters of parts of the platform, wherein a data point is missing from the data. A plurality of different polynomial interpolation values is calculated for the missing data point using a plurality of different polynomial interpolation formulas. A relative strength for each of the plurality of different polynomial interpolation values is calculated, wherein relative strengths are determined. A best polynomial interpolation value is selected based on a highest strength of the relative strengths. The best polynomial interpolation value is substituted for the data point that is missing from the data, wherein filled data is created. A status of the parts is determined based on the filled data, wherein an analysis is formed. Responsive to the analysis indicating that maintenance is due for a part in the parts, causing maintenance to be performed.

An external modelling method, including applying to a nose of initial external shape F.sub.0, at least two modelling instruments I, to guide the growth of the nose cartilage and thus obtain a target final external nose shape F.sub.f when the individual has stopped growing, which differs from a natural external shape F.sub.n which would be obtained naturally in the absence of intervention. A set of modelling instruments is provided, the successive shapes of which are determined to represent an evolving succession of one or more target intermediate shapes F, from the initial external nose shape F.sub.0 through to the target final external shape F.sub.f. A method of producing the modelling instruments is provided, during which method, starting from the initial external nose shape F.sub.0, a target final shape F.sub.f and at least one target intermediate shape F are determined. The instruments corresponding to each target shape are manufactured.