This record is currently in review state, the data hasn’t been validated yet.
Diagonal time dependent state space models for modal decomposition of non-stationary signals
Avendaño, Luis Enrique
Avendaño-Valencia, Luis David
- Journal Article
Rights / licenseIn Copyright - Non-Commercial Use Permitted
This work is devoted to the problem of the decomposition of a non-stationary signal into modal components, for which a methodological approach based on diagonal time-dependent state space models is postulated. In particular, on this paper is shown that the response of a diagonal time-dependent state space models can be cast into a modal form characterized by time-dependent amplitudes and frequencies. Later, a Kalman filter based framework for non-stationary modal decomposition is built on the previously discussed diagonal state space representations. The enhanced performance of the proposed methods is demonstrated on a benchmark test consisting of three non-stationary modal components, and on the modal decomposition and denoising of a ElectroCardio Graphic signals from the QT database. The proposed methods constitute a reliable tool for on-line modal decomposition of multi-component non-stationary signals, with results comparable and even better than other state-of-the-art methods Show more
Journal / seriesSignal processing
SubjectModal decomposition; Time-dependent vibrational dynamics
Organisational unit03890 - Chatzi, Eleni
NotesThis work has been partially founded by the ETH Zurich Postdoctoral Fellowship FEL-45 14-2 “A data-driven computational framework for damage identification and life-cycle management of wind turbine facilities”.
MoreShow all metadata