Fault Detection and Isolation Using the Generalized Parity Vector Technique in the Absence of an a Priori Mathematical Model

摘要

This paper is an extension of the generalized parity vector (GPV) approach presented in Omana and Taylor [1] and [2]. In the present work, this fault detection and isolation (FDI) technique is implemented on a two-phase separator followed by a three-phase gravity separator model used in oil production facilities. This model simulates a larger scale process, which allows the technique to be tested in a higher dimensional space with more complex system dynamics. Also, the plant model availability issue is overcome by incorporating a system identification module before executing the FDI block. This shows that while the GPV is a model-based technique, it is still viable for FDI even for those plants where only input-output data are available.