Zabiri, H. and Maulud, A. and Omar, N. (2009) NN-based algorithm for control valve stiction quantification. WSEAS Transactions on Systems and Control, 4 (2). pp. 88-97. ISSN 19918763
Full text not available from this repository.Abstract
Control valve stiction is the most commonly found valve problem in the process industry. Quantification of the actual amount of stiction present in a loop is an important step that may help in scheduling the optimum maintenance work for the valves. In this paper, a Neural-network based stiction quantification algorithm is developed. It is shown that the performance of the proposed quantification algorithm is comparable to other method whereby accurate estimation of the stiction amount can be achieved even in the presence of random noise. Its robustness towards external oscillating disturbances is also investigated.
Item Type: | Article |
---|---|
Additional Information: | cited By 20 |
Uncontrolled Keywords: | Accurate estimation; Control valve; Control valves; Maintenance work; Oscillating disturbances; Process industries; Quantification; Random noise, Neural networks; Safety valves, Stiction |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:48 |
Last Modified: | 09 Nov 2023 15:48 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/717 |