Wavelet-based burst system model change detection
Document Type
Article
Publication Date
1-1-2011
Abstract
A new scheme for detecting system burst changes is developed based on the continuous wavelet transform (CWT). The system is concisely represented by its time-frequency representation (TFR), the ratio of the CWTs of the output and the input. The TFR is first estimated, assuming that no system changes occur during a time period. A chi-square test is then executed to test the TFR estimate's match to the data. System model changes are detected at the time samples when the assumption that the system is time invariant is broken. Simulations verify the capability of the proposed algorithm to detect burst system changes.
Publication Title
International Journal of Modelling and Simulation
Recommended Citation
Shan, X.,
&
Burl, J.
(2011).
Wavelet-based burst system model change detection.
International Journal of Modelling and Simulation,
31(4), 296-300.
http://doi.org/10.2316/Journal.20.2011.4.205-5535
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/13864