Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator

dc.contributor.author	Gadsden SA
dc.contributor.author	Song Y
dc.contributor.author	Habibi SR
dc.contributor.department	Mechanical Engineering
dc.date.accessioned	2025-02-27T19:58:52Z
dc.date.available	2025-02-27T19:58:52Z
dc.date.issued	2012-01-01
dc.date.updated	2025-02-27T19:58:52Z
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.identifier.doi	https://doi.org/10.1109/acc.2012.6315450
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.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

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