Application of the sliding innovation filter for fault detection and diagnosis of an electromechanical system

dc.contributor.author	Al Shabi M
dc.contributor.author	Gadsden SA
dc.contributor.author	Assad MEH
dc.contributor.author	Khuwaileh B
dc.contributor.department	Mechanical Engineering
dc.contributor.editor	Grewe LL
dc.contributor.editor	Blasch EP
dc.contributor.editor	Kadar I
dc.date.accessioned	2025-03-03T16:54:31Z
dc.date.available	2025-03-03T16:54:31Z
dc.date.issued	2021-04-12
dc.date.updated	2025-03-03T16:54:31Z
dc.description.abstract	This brief work introduces the use of the relatively new sliding innovation filter in the field of fault detection and diagnosis. This important area is part of signal processing techniques that are widely used in industrial practice, telecommunications, optical systems, and robotics, to name a few. This filter overcomes robustness issues during faults caused by modeling uncertainties. This brief work explores the properties and quality of the filter outputs applied on an electromechanical system. The results are compared with the well-known and studied Kalman Filter.
dc.identifier.doi	https://doi.org/10.1117/12.2587341
dc.identifier.issn	0277-786X
dc.identifier.issn	1996-756X
dc.identifier.uri	http://hdl.handle.net/11375/31294
dc.publisher	SPIE, the international society for optics and photonics
dc.subject	4007 Control Engineering, Mechatronics and Robotics
dc.subject	40 Engineering
dc.subject	4010 Engineering Practice and Education
dc.title	Application of the sliding innovation filter for fault detection and diagnosis of an electromechanical system
dc.type	Article

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