Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN)

71 p.

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Bibliographic Details
Main Author:	Wu, Bin.
Other Authors:	Narasimhan Sundararajan ; Abhay Anant Pashilkar
Format:	Theses and Dissertations
Published:	2011
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/46953
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-46953
record_format	dspace
spelling	sg-ntu-dr.10356-469532023-07-04T15:49:50Z Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN) Wu, Bin. Narasimhan Sundararajan ; Abhay Anant Pashilkar School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems 71 p. This dissertation presents an Artificial Neural Network (ANN) based scheme for the modeling, simulation and analysis of aircraft Sensor Failure Detection, Identification and Accommodation (SFDIA) problem. The learning neural networks in this scheme are used as online nonlinear approximators of the analytically redundant portion of the system dynamics. The SFDIA scheme is achieved by incorporating a Main Neural Network (MNN) and a set of n Decentralized Neural Networks (DNNs) for a system with n sensors assumed to be without physical redundancy. The MNN is used to detect a wide variety of sensor failures while the DNNs are used to identify the particular sensor that has failed and accommodate for the failure. Master of Science (Computer Control and Automation) 2011-12-27T05:49:10Z 2011-12-27T05:49:10Z 2011 Thesis http://hdl.handle.net/10356/46953 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 Wu, Bin. Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN)
description	71 p.
author2	Narasimhan Sundararajan ; Abhay Anant Pashilkar
author_facet	Narasimhan Sundararajan ; Abhay Anant Pashilkar Wu, Bin.
format	Theses and Dissertations
author	Wu, Bin.
author_sort	Wu, Bin.
title	Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN)
title_short	Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN)
title_full	Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN)
title_fullStr	Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN)
title_full_unstemmed	Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN)
title_sort	aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (emran)
publishDate	2011
url	http://hdl.handle.net/10356/46953
_version_	1772828635835662336

Aircraft sensor failure detection, identification and accommodation using extended minimal resource allocating networks (EMRAN)

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