Fault modeling for nonlinear systems using ANFIS

Khosravi, A; Lu, J

Fault modeling for nonlinear systems using ANFIS

Khosravi, A Lu, J

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT, 2006, 1 pp. 75 - 83
Issue Date:: 2006-12-01

Closed Access

	Filename	Description	Size
	2006005129.pdf		1.09 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Khosravi, A	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT, 2006, 1 pp. 75 - 83	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6912
dc.description.abstract	In this paper we develop a new method to model occurred faults in different parts of nonlinear systems. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) we build a model for faultless plant which is used in the procedure of fault modeling. The considered model for fault is again an ANFIS system and its parameters are adjusted in an indirect way using difference between actual output and output of plant model. Simulation results on a nonlinear system are shown in this paper and they clearly demonstrate the capability of the proposed method for fault modeling. © 2006 PIPS.	en_US
dc.relation.ispartof	Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT	en_US
dc.title	Fault modeling for nonlinear systems using ANFIS	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	0804 Data Format	en_US
dc.location.activity	Wilsa, Poland	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

In this paper we develop a new method to model occurred faults in different parts of nonlinear systems. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) we build a model for faultless plant which is used in the procedure of fault modeling. The considered model for fault is again an ANFIS system and its parameters are adjusted in an indirect way using difference between actual output and output of plant model. Simulation results on a nonlinear system are shown in this paper and they clearly demonstrate the capability of the proposed method for fault modeling. © 2006 PIPS.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/6912