Fault diagnosis in chemical processes based on dynamic simulation

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Abstract:A novel fault detection and diagnosis method was proposed, using dynamic simulation to monitor chemical process and identify faults when large tracking deviations occur. It aims at parameter failures, in which the parameters are updated via on-line correction. As it can predict the trend of process and determine the existence of malfunctions meanwhile, this method does not need to design problem-specific observer to estimate unmeasured state variables, and can identify and diagnosis faults simultaneously as well. Linear least square was adopted as model correction algorithm according to the characteristics of the chemical process faults, computation speed could therefore be increased. Examples of the application of the proposed method are presented for the gravity water tank and the aromatization reactor, and the results are compared with those from the traditional methods.

Volume:19

Issue:12

Translation or Not:no