Time-frequency and time-scale domain analysis of voltage disturbances

By Y. Gu, Math H. J. Bollen. 2000

414 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/923c955f60c820e18957d34e409d25bdb22e696c

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. Irene Yu-Hua Gu
2. Laxman Madhavrao Waghmare
3. S. Deokar
4. Math H. J. Bollen
5. Thierry Bouwmans

In Control and Systems Engineering

1. Irene Yu-Hua Gu
2. Laxman Madhavrao Waghmare
3. S. Deokar
4. Math H. J. Bollen

In Electrical and Electronic Engineering

1. Irene Yu-Hua Gu
2. Laxman Madhavrao Waghmare
3. S. Deokar
4. Math H. J. Bollen

Citations in the corpus

• Integrated DWT–FFT approach for detection and classification of power quality disturbances (2014, methodology): “With a properly chosen window size, discrete STFT is also able to detect and analyze transients in a voltage disturbance [6].”
• Estimating Interharmonics by Using Sliding-Window ESPRIT (2008, methodology): “The sliding-window concept is very similar to the short-time Fourier transform (STFT) [13] as applied successfully for many years.”