Modelling a fleet of machines using PCA
Résumé
In this paper, we propose a method to model a fleet of identical machines. These latest may work in the same or in different operating conditions. Firstly, the method consists in estimating a linear model, using PCA, based on the data collected on the machine itself. Secondly, the common parts of the models of the different machines are identified. New models for the machines are then generated taking into account the identified common parts. An academic example is finally presented to illustrate the results of the method.