Teh, W.K. and Zabiri, H. and Samyudia, Y. and Jeremiah, S.S. and Kamaruddin, B. and Mohd Amiruddin, A.A.A. and Ramli, N.M. (2018) An Improved Diagnostic Tool for Control Valve Stiction Based on Nonlinear Principle Component Analysis. Industrial and Engineering Chemistry Research, 57 (33). pp. 11350-11365. ISSN 08885885
Full text not available from this repository.Abstract
Control valves suffer from wear and aging as the valves open and close. Such continuous movements result in many operational issues, and one of the widely known problems is stiction nonlinearity. Stiction results in inferior quality of the products, large rejection rates, increased energy consumption, and reduced profitability. In this paper, a simple algorithm that combines preprocessing and postprocessing as well as average crossing autocovariance (AC) together with the nonlinear principal component analysis (NLPCA) is investigated. The results obtained from the simulated and industrial case studies show that the proposed NLPCA-AC method has favorable proficiencies for control valve stiction detection. Copyright © 2018 American Chemical Society.
Item Type: | Article |
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Additional Information: | cited By 18 |
Uncontrolled Keywords: | Energy utilization; Safety valves; Stiction, Diagnostic tools; Industrial case study; Inferior quality; Nonlinear principal component analysis; Nonlinear principle components; Operational issues; Rejection rates; SIMPLE algorithm, Principal component analysis |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:36 |
Last Modified: | 09 Nov 2023 16:36 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/10072 |