In this paper, a fault detection and diagnosis (FDD) scheme is developed for a class of intensified HEX/reactor, inwhich faults caused\nby sensor, actuator, and process are taken into account in the unified framework. By considering overall heat transfer coefficient\nas a function of fouling and fluid flow rate, a dynamic model which is capable of identifying these two faults simultaneously is\nderived. Sensor measurements, together with estimation by adaptive high gain observers, are processed, aimed at identifying sensor\nfaults and providing adequate estimation to substitute faulty measurements. Then reliablemeasurements are fed to several banks of\ninterval filters to generate several banks of residuals; each bank of residuals is sensitive to a particular process parameter/actuator.\nBy evaluating these residuals, process/actuator fault isolation and identification are achieved. The proposed strategy is applied to\nactual data retrieved from a new intensified heat exchanger reactor. Simulation results confirm the applicability and robustness of\nthe proposed methodology
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