relation: https://khub.utp.edu.my/scholars/1197/
title: A black-box approach in modeling valve stiction
creator: Zabiri, H.
creator: Mazuki, N.
description: 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
type: Article
type: PeerReviewed
identifier:   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     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78751638301&partnerID=40&md5=a54f4a6cc2a57fe68c9b8be310854fb0