eprintid: 1197
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/11/97
datestamp: 2023-11-09 15:49:21
lastmod: 2023-11-09 15:49:21
status_changed: 2023-11-09 15:39:12
type: article
metadata_visibility: show
creators_name: Zabiri, H.
creators_name: Mazuki, N.
title: A black-box approach in modeling valve stiction
ispublished: pub
keywords: Black box approach; Black-box modeling; Control valve stiction; Excellent performance; Mode operation; Modeling; Network types; Parameter values; Stiction models, Behavioral research; Model structures; Safety valves; Stiction; Structural optimization, Neural networks
note: cited By 3
abstract: Several valve stiction models have been proposed in the literature to help understand and study the behavior of sticky valves. In this paper, an alternative black-box modeling approach based on Neural Network (NN) is presented. It is shown that with proper network type and optimum model structures, the performance of the developed NN stiction model is comparable to other established method. The resulting NN model is also tested for its robustness against the uncertainty in the stiction parameter values. Predictive mode operation also shows excellent performance of the proposed model for multi-steps ahead prediction.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78751638301&partnerID=40&md5=a54f4a6cc2a57fe68c9b8be310854fb0
full_text_status: none
publication: World Academy of Science, Engineering and Technology
volume: 68
pagerange: 264-271
refereed: TRUE
issn: 2010376X
citation:   Zabiri, H. and Mazuki, N.  (2010) A black-box approach in modeling valve stiction.  World Academy of Science, Engineering and Technology, 68.  pp. 264-271.  ISSN 2010376X