Please use this identifier to cite or link to this item:
|Title:||High efficient crossing-order decoupling in Vold-Kalman filtering order tracking based on independent component analysis||Authors:||Guo, Y.
Independent component analysis
Preconditioned conjugate gradient
|Issue Date:||Aug-2010||Citation:||Guo, Y., Tan, K.K. (2010-08). High efficient crossing-order decoupling in Vold-Kalman filtering order tracking based on independent component analysis. Mechanical Systems and Signal Processing 24 (6) : 1756-1766. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ymssp.2010.02.002||Abstract:||An approach for decoupling of crossing orders in Vold-Kalman filtering order tracking (VKF-OT) is proposed in this paper. In the approach, independent component analysis (ICA) is employed to decouple the disturbance orders by separating the raw mixed signals into independent components (ICs) before performing VKF-OT. Compared with the preconditioned conjugate gradient (PCG) decoupling for VKF-OT, it is efficient in computation and does not require the instantaneous frequency information of the disturbance signals. The evaluation of the approach is presented in detail based on simulations and an experiment on a rotor test rig. Both of them give positive supports to the presented approach. © 2010 Elsevier Ltd.||Source Title:||Mechanical Systems and Signal Processing||URI:||http://scholarbank.nus.edu.sg/handle/10635/82448||ISSN:||08883270||DOI:||10.1016/j.ymssp.2010.02.002|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 24, 2021
WEB OF SCIENCETM
checked on Jun 16, 2021
checked on Jun 21, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.