Open AccessAn improved smooth-windowed Wigner-Ville distribution analysis for voltage variation signal
Author(s) -
Mustafa Manap,
Abdul Rahim Abdullah,
Srete Nikolovski,
Tole Sutikno,
Mohd Hatta Jopri
Publication year - 2020
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v10i5.pp4982-4991
Subject(s) - kernel (algebra) , signal (programming language) , time–frequency analysis , computer science , voltage , algorithm , wigner distribution function , bilinear interpolation , mathematics , statistics , telecommunications , physics , discrete mathematics , quantum mechanics , quantum , programming language , radar
This paper outlines research conducted using bilinear time-frequency distribution (TFD), a smooth-windowed wigner-ville distribution (SWWVD) used to represent time-varying signals in time-frequency representation (TFR). Good time and frequency resolutions offer superiority in SWWVD to analyze voltage variation signals that consist of variations in magnitude. The separable kernel parameters are estimated from the signal in order to get an accurate TFR. The TFR for various kernel parameters is compared by a set of performance measures. The evaluation shows that different kernel settings are required for different signal parameters. Verification of the TFD that operated at optimal kernel parameters is then conducted. SWWVD exhibits a good performance of TFR which gives high peak-to-side lobe ratio (PSLR) and signal-to-cross-terms ratio (SCR) accompanied by low main-lobe width (MLW) and absolute percentage error (APE). This proved that the technique is appropriate for voltage variation signal analysis and it essential for development in an advanced embedded system.