Application of fractional Fourier transform for classification of power quality disturbances

By Utkarsh Singh, Shailja Singh. 2017

104 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/3a96bbc10a890da7d5315ab4a97717e59220aba2

How researchers see this paper

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

In Electrical and Electronic Engineering

1. Adnan M. Abu-Mahfouz
2. Khmaies Ouahada
3. Oyeniyi Akeem Alimi

In Electronic, Optical and Magnetic Materials

1. Adnan M. Abu-Mahfouz
2. Khmaies Ouahada
3. Oyeniyi Akeem Alimi

Citations in the corpus

• A Review of Machine Learning Approaches to Power System Security and Stability (2020, methodology): “Various time domain signal processing techniques such as EMD [24], [55] and frequency domain techniques such as FT [56] have been successfully deployed for feature extraction in MLT based PQD stud-”