Influence matrix based real-time fault diagnosis

The conventional method of fault diagnosis is to use static and dynamic models of the process. This paper starts with a brief introduction to the parametric-model-estimation approach, followed by a detailed discussion on how efficiently the idea of an influence matrix may relieve the need for the knowledge of an explicit relation between the estimated model parameters and faulty physical components. Then the nonparametric-model-estimation approach is proposed as a proper replacement to lessen the huge computational time implied by the recursive identification process. The proposed method is evaluated both on simulated examples and on an actual control system