We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Time–frequency–scale transform for analysis of PQ disturbances.
- Authors
Singh, Utkarsh; Singh, Shyam Narain
- Abstract
The advancements in signal processing have broadened the scope of research in power quality (PQ) analysis. Recent literature on PQ also highlights the need of signal processing tools, which offer high resolution, noise immunity and feature extraction capabilities. This study thus presents a time–frequency–scale transform (TFST) based on chirplet transform (CT) for PQ analysis. CT is a multi-domain transform with each domain having specific effect on time–frequency representations (TFRs). CT cannot be directly applied to PQ analysis, and therefore, TFST is derived from it which limits the TFR operations to shifting and scaling. A Hann window is preferred for signal truncation due to its aptness for sinewave, high frequency resolution and reduced spectral leakage. The proposed transform resembles the short-time Fourier transform with an added scaling feature. It has low computational complexity, and the resulting TFRs can provide signal information and features just like Stockwell transform. Seven case studies are presented for performance assessment. The typical trade-off situation persists in some PQ disturbances due to windowing, but the results show appreciable time–frequency resolution and noise immunity.
- Subjects
CHIRPLET transform (Signal processing); TIME-frequency analysis; COMPUTATIONAL complexity; CASCADE converters; POWER supply quality
- Publication
IET Science, Measurement & Technology (Wiley-Blackwell), 2017, Vol 11, Issue 3, p305
- ISSN
1751-8822
- Publication type
Article
- DOI
10.1049/iet-smt.2016.0355