Fault detection and identification scheme using neural network

This dissertation presents a Fault Detection and Identification Scheme of an aircraft control system based on a feedforward neural network. The training scheme for the neural network uses the standard backpropagation algorithm. The aircraft model used is that of a high performance fighter aircraft a...

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Bibliographic Details
Main Author:	Than Soe.
Other Authors:	Sundararajan, Narasimhan
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/3570
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3570
record_format	dspace
spelling	sg-ntu-dr.10356-35702023-07-04T16:29:26Z Fault detection and identification scheme using neural network Than Soe. Sundararajan, Narasimhan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This dissertation presents a Fault Detection and Identification Scheme of an aircraft control system based on a feedforward neural network. The training scheme for the neural network uses the standard backpropagation algorithm. The aircraft model used is that of a high performance fighter aircraft and only the longitudinal linear model is considered in this study. Master of Science (Computer Control and Automation) 2008-09-17T09:32:39Z 2008-09-17T09:32:39Z 2003 2003 Thesis http://hdl.handle.net/10356/3570 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Than Soe. Fault detection and identification scheme using neural network
description	This dissertation presents a Fault Detection and Identification Scheme of an aircraft control system based on a feedforward neural network. The training scheme for the neural network uses the standard backpropagation algorithm. The aircraft model used is that of a high performance fighter aircraft and only the longitudinal linear model is considered in this study.
author2	Sundararajan, Narasimhan
author_facet	Sundararajan, Narasimhan Than Soe.
format	Theses and Dissertations
author	Than Soe.
author_sort	Than Soe.
title	Fault detection and identification scheme using neural network
title_short	Fault detection and identification scheme using neural network
title_full	Fault detection and identification scheme using neural network
title_fullStr	Fault detection and identification scheme using neural network
title_full_unstemmed	Fault detection and identification scheme using neural network
title_sort	fault detection and identification scheme using neural network
publishDate	2008
url	http://hdl.handle.net/10356/3570
_version_	1772826144273334272

Fault detection and identification scheme using neural network

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