Fault Diagnosis in Dynamic Processes: A Data Mining and SVM Application

The major inconvenient for the Fault Detection and Isolation (FDI) in technical processes based on analytical redundancy is the requirement of a very accurate model of the system. By contrary, in the methods based on data handling it is not required of a precise model, since they are based on the manipulation of the information by means of the measured data. Thus, in this paper a set of statistical indices allowing quantifying the amount of information contained in the collected data is presented, in order to realize the FDI.