Characterization of distribution power quality events with Fourier and wavelet transforms

By Surya Santoso, W. Mack Grady, Edward J. Powers, J. Lamoree, S. Bhatt. 2000

434 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/29adbc567848fc8862ee7d982df2dd04cee0721e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Laxman Madhavrao Waghmare
2. S. Deokar

In Electrical and Electronic Engineering

1. Laxman Madhavrao Waghmare
2. S. Deokar

Citations in the corpus

• Time-Frequency Analysis of Power-Quality Disturbances via the Gabor–Wigner Transform (2010, methodology): “The combined methods of FT-WT and short-time correlation transform (STCT)-WT are introduced to enhance the detection performance [6], [7].”
• Integrated DWT–FFT approach for detection and classification of power quality disturbances (2014, background): “Converter operation, transformer energization, and capacitor energization (which includes normal, back-to-back, and restrike on opening energization), representing three common power quality events at the distribution level, are presented [5].”