Finding fault

Skoundrianos, EN; Tzafestas, SG

dc.contributor.author	Skoundrianos, EN	en
dc.contributor.author	Tzafestas, SG	en
dc.date.accessioned	2014-03-01T01:20:31Z
dc.date.available	2014-03-01T01:20:31Z
dc.date.issued	2004	en
dc.identifier.issn	1070-9932	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15944
dc.subject	Change Detection	en
dc.subject	Fault Detection	en
dc.subject	Fault Detection and Diagnosis	en
dc.subject	Fault Detection and Isolation	en
dc.subject	Fault Diagnosis	en
dc.subject	Knowledge Base	en
dc.subject	Mathematical Model	en
dc.subject	Mobile Robot	en
dc.subject	Model Error	en
dc.subject	Process Model	en
dc.subject	Residual Generation	en
dc.subject	Input Output	en
dc.subject	Neural Network	en
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Robotics	en
dc.subject.other	Algorithms	en
dc.subject.other	Condition monitoring	en
dc.subject.other	Control system synthesis	en
dc.subject.other	Decision theory	en
dc.subject.other	Fuzzy control	en
dc.subject.other	Manipulators	en
dc.subject.other	Mathematical models	en
dc.subject.other	Neural networks	en
dc.subject.other	Nonlinear control systems	en
dc.subject.other	Signal detection	en
dc.subject.other	Speed control	en
dc.subject.other	Wheels	en
dc.subject.other	Change detection algorithms	en
dc.subject.other	Decision mechanism	en
dc.subject.other	Fault detection	en
dc.subject.other	Fault diagnosis	en
dc.subject.other	Local model networks	en
dc.subject.other	Nonlinear relationship	en
dc.subject.other	Plant modeling	en
dc.subject.other	Residual evaluation	en
dc.subject.other	Mobile robots	en
dc.title	Finding fault	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/MRA.2004.1337829	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MRA.2004.1337829	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	The combination of local model networks for modeling and change-detection algorithms for residual creation was applied to the wheels subsystem of a mobile robot. It was found that the method works quickly and efficiently and that false alarms are avoided. The success of the method was based on the performance of the modeling process. This made the method a very efficient one because of the large repertory of existing and well-studied modeling techniques.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Robotics and Automation Magazine	en
dc.identifier.doi	10.1109/MRA.2004.1337829	en
dc.identifier.isi	ISI:000224038300011	en
dc.identifier.volume	11	en
dc.identifier.issue	3	en
dc.identifier.spage	83	en
dc.identifier.epage	90	en