TU Darmstadt / ULB / TUprints

Consideration of Gyroscopic Effect in Fault Detection and Isolation for Unbalance Excited Rotor Systems

Wang, Zhentao ; Wahrburg, Arne ; Rinderknecht, Stephan (2022)
Consideration of Gyroscopic Effect in Fault Detection and Isolation for Unbalance Excited Rotor Systems.
In: International Journal of Rotating Machinery, 2012
doi: 10.26083/tuprints-00020335
Article, Secondary publication, Publisher's Version

[img] Text
640794.pdf
Copyright Information: CC BY 3.0 Unported - Creative Commons, Attribution.

Download (3MB)
Item Type: Article
Type of entry: Secondary publication
Title: Consideration of Gyroscopic Effect in Fault Detection and Isolation for Unbalance Excited Rotor Systems
Language: English
Date: 2022
Place of Publication: Darmstadt
Publisher: Hindawi
Journal or Publication Title: International Journal of Rotating Machinery
Volume of the journal: 2012
Collation: 14 Seiten
DOI: 10.26083/tuprints-00020335
Corresponding Links:
Origin: Secondary publication service
Abstract:

Fault detection and isolation (FDI) in rotor systems often faces the problem that the system dynamics is dependent on the rotor rotary frequency because of the gyroscopic effect. In unbalance excited rotor systems, the continuously distributed unbalances are hard to be determined or estimated accurately. The unbalance forces as disturbances make fault detection more complicated. The aim of this paper is to develop linear time invariant (LTI) FDI methods (i.e., with constant parameters) for rotor systems under consideration of gyroscopic effect and disturbances. Two approaches to describe the gyroscopic effect, that is, as unknown inputs and as model uncertainties, are investigated. Based on these two approaches, FDI methods are developed and the results are compared regarding the resulting FDI performances. Results are obtained by the application in a rotor test rig. Restrictions for the application of these methods are discussed.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-203352
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems)
Date Deposited: 19 Jan 2022 09:29
Last Modified: 21 Mar 2023 10:36
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20335
PPN: 506169006
Export:
Actions (login required)
View Item View Item