Frequency response of gas turbine condition monitoring system

The work reported in this thesis is concerned with the Condition Monitoring by using Generalised Frequency Response Function. Two types of nonlinear models are discussed but the attention is focussed on a nonlinear model called NARX (Nonlinear AutoRegressive with exogenous input). The first of two p...

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Main Author:	Mohd. Taib, Mohd. Nor
Format:	Thesis
Published:	1999
Subjects:	TJ Mechanical engineering and machinery
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id	my-utm-ep.44200
record_format	uketd_dc
spelling	my-utm-ep.442002017-08-13T06:57:03Z Frequency response of gas turbine condition monitoring system 1999 Mohd. Taib, Mohd. Nor TJ Mechanical engineering and machinery The work reported in this thesis is concerned with the Condition Monitoring by using Generalised Frequency Response Function. Two types of nonlinear models are discussed but the attention is focussed on a nonlinear model called NARX (Nonlinear AutoRegressive with exogenous input). The first of two parts of the thesis deals with the theory. Initially, the NARX and NARMAX representations are introduced. Recursive Least Square and Extended Recursive Least Square for estimating the unknown parameters in the NARX and NARMAX models are presented. A discussion of the techniques for selecting the "best" model is given. To complete the modelling techniques, the validity test of the identified model are presented. By using the NARX model, an analytical expression for calculating the n-th order of Generalised Frequency Response Function in term of model parameters and the gain bound can be obtained. The second part of the thesis deals with the case studies with practical identification of nonlinear system using the written package. Six case studies are demonstrated.Techniques for obtaining the optimal model, validity test are described. By using this optimal model, the decomposition of Generalised Frequency Response Function can be visualised. Finally, the Energy Density of the model is presented. 1999 Thesis http://eprints.utm.my/id/eprint/44200/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62462?queryType=vitalDismax&query=Frequency+response+of+gas+turbine+condition+monitoring+system phd doctoral Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Mohd. Taib, Mohd. Nor Frequency response of gas turbine condition monitoring system
description	The work reported in this thesis is concerned with the Condition Monitoring by using Generalised Frequency Response Function. Two types of nonlinear models are discussed but the attention is focussed on a nonlinear model called NARX (Nonlinear AutoRegressive with exogenous input). The first of two parts of the thesis deals with the theory. Initially, the NARX and NARMAX representations are introduced. Recursive Least Square and Extended Recursive Least Square for estimating the unknown parameters in the NARX and NARMAX models are presented. A discussion of the techniques for selecting the "best" model is given. To complete the modelling techniques, the validity test of the identified model are presented. By using the NARX model, an analytical expression for calculating the n-th order of Generalised Frequency Response Function in term of model parameters and the gain bound can be obtained. The second part of the thesis deals with the case studies with practical identification of nonlinear system using the written package. Six case studies are demonstrated.Techniques for obtaining the optimal model, validity test are described. By using this optimal model, the decomposition of Generalised Frequency Response Function can be visualised. Finally, the Energy Density of the model is presented.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mohd. Taib, Mohd. Nor
author_facet	Mohd. Taib, Mohd. Nor
author_sort	Mohd. Taib, Mohd. Nor
title	Frequency response of gas turbine condition monitoring system
title_short	Frequency response of gas turbine condition monitoring system
title_full	Frequency response of gas turbine condition monitoring system
title_fullStr	Frequency response of gas turbine condition monitoring system
title_full_unstemmed	Frequency response of gas turbine condition monitoring system
title_sort	frequency response of gas turbine condition monitoring system
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	1999
_version_	1747817167758295040

Frequency response of gas turbine condition monitoring system

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