Simultaneous estimation of biases and leaks in process plants

In this paper, a recursive strategy is applied to identify gross errors (bi ases and leaks) and estimate their magnitude in linear steady state process es. A recursive search scheme is used first to isolate the candidate source s of gross errors and then simultaneous identification/estimation of gross errors is accomplished. A recently proposed equivalency theory is used to c orrectly assess results. Comparative studies of performance and accuracy of estimation are performed for some process networks when compared to existi ng techniques. Simulation results show that the proposed approach has highe r performance to identify gross errors as well as to estimate their magnitu des. (C) 1999 Elsevier Science Ltd. All rights reserved.