Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31209

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DC Field	Value	Language
dc.contributor.author	Gadsden SA	-
dc.contributor.author	Song Y	-
dc.contributor.author	Habibi SR	-
dc.date.accessioned	2025-02-27T19:58:52Z	-
dc.date.available	2025-02-27T19:58:52Z	-
dc.date.issued	2012-01-01	-
dc.identifier.isbn	978-1-4577-1095-7	-
dc.identifier.issn	0743-1619	-
dc.identifier.issn	2378-5861	-
dc.identifier.uri	http://hdl.handle.net/11375/31209	-
dc.description.abstract	This paper studies the mathematical modeling of an electrohydrostatic actuator (EHA) for the purpose of fault detection and diagnosis. A relatively new model-based fault detection strategy referred to as the interacting multiple model and smooth variable structure filtering method (IMM-SVSF) is applied on an experimental apparatus. The results of this application are compared with the popular Kalman filter based strategy (IMM-KF), and recommendations are made for future research. © 2012 AACC American Automatic Control Council).	-
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	-
dc.subject	4007 Control Engineering, Mechatronics and Robotics	-
dc.subject	40 Engineering	-
dc.subject	4001 Aerospace Engineering	-
dc.subject	4010 Engineering Practice and Education	-
dc.title	Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator	-
dc.type	Article	-
dc.date.updated	2025-02-27T19:58:52Z	-
dc.contributor.department	Mechanical Engineering	-
dc.identifier.doi	https://doi.org/10.1109/acc.2012.6315450	-
Appears in Collections:	Mechanical Engineering Publications

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