Development of Quantification Algorithm for Control Valve Stiction

Control valve stiction is the most commonly found valve
problem in the process industry. Though many methods
have been developed in detecting stiction, quantification
of the actual amount of stiction presents in a loop is still
an open research area. In this paper, Neural-network
techniques are investigated in the development of a
quantification algorithm for control valve stiction. It is
shown that in the presence of a well-tuned controller,
satisfactory performance of the proposed Neural-network
based quantification algorithm can be achieved.