High efficient crossing-order decoupling in Vold–Kalman filtering order tracking based on independent component analysis

• Published in: Mechanical systems and signal processing Vol. 24; no. 6; pp. 1756 - 1766
• Main Authors: Guo, Yu, Tan, Kok Kiong
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.08.2010; Elsevier
• Subjects: Acoustic signal processing; Acoustics; Computer simulation; Decoupling; Disturbances; Exact sciences and technology; Filtering; Filtration; Fundamental areas of phenomenology (including applications); Independent component analysis; Mechanical systems; Order tracking; Physics; Preconditioned conjugate gradient; Tracking; Preconditioned conjugate gradient; Decoupling; Order tracking; Independent component analysis; Conjugate gradient method; Tracking; Heterodyne detection; Kalman filter; Experimental study; Preconditioning; Structural acoustics
• ISSN: 0888-3270; 1096-1216
• DOI: 10.1016/j.ymssp.2010.02.002

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.