Properties of petroleum fractions are important data of petrochemical processes. However

tremendous on-site data containing redundant information and measurement errors pose a great challenge to routine operation of chemical processes. A basic fraction data modelling method was proposed from characterization techniques of state space of petroleum fractions

in which an initial basic fraction data model was obtained via non-negative matrix factorization and updated by an iterative strategy so that the scale of the model base set was minimized as much as possible under circumstance of assured modelling accuracy. The results of simulation study verify that the proposed method is effective and suitable for a wide application to petrochemical processes.