DETECTION OF EQUIPMENT FAULTS IN AUTOMATICALLY CONTROLLED PROCESSES

Based on the UBET, a new strategy for identifying faulty equipment for dynamic chemical processes under automatic control is presented The s trategy is designed to distinguish between measurement biases, control ler biases, and process leaks. For illustration purposes, application is given to a level control process under pseudo-steady state. This ap proach was inspired by the work of Rollins and Devanathan to identify biased measurements under dynamic conditions. Advantages of this metho d are that it is not computationally intensive can accurately detect a nd specifically identify the type of fault, and can accurately determi ne the time when the fault occurs.