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A. Rao, Khaled Hamed, Huey-Long Chen (2003)
Time-frequency analysis -
10.1002/etep.4450030208
- Publisher
- Emerald Publishing
- Copyright
- Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
- ISSN
- 0332-1649
- DOI
- 10.1108/03321640410510550
- Publisher site
- See Article on Publisher Site
Abstract
Classical techniques to estimate the spectrum of the multi‐component signal are based on Fourier‐based transformations. The frequency estimates obtained from their spectral peaks are affected by the window length and phase of signal component, thus presenting a large variance even in the absence of noise. The spectrum of the signals is estimated with the help of the Wigner‐Ville distribution and its time‐frequency representation is obtained. For the same purpose, the min‐norm method (subspace method) is used. The accuracy of the tested methods was investigated and compared with the parameters of the frequency estimation via FFT. The proposed methods were also tested with non‐stationary multiple‐component signals occurring during the fault operation of inverter‐fed drives and transmission lines.
Journal
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – Emerald Publishing
Published: Jun 1, 2004
Keywords: Power transmission systems; Fault tolerance; Power transistors; Spectra