Abstract: Deep learning models have shown great potential for fault location and classification tasks in distribution systems. Emerging multi-scale data sources such as waveform measurement units, ...

area:results priority:2Moderately important. Relied on by some users or impeding the usability of the gameModerately important. Relied on by some users or impeding the usability of the game Currently, ...

Abstract: The Wigner-Ville distribution (WVD) is a high-resolution time-frequency analysis method. However, the discrete WVD (DWVD) has the problem of a narrow frequency observation range. This is ...

1 Electric Power Research Institute, State Grid Shanxi Electric Power Company, Tai Yuan, China 2 School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China Distribution transformers are ...

The dynamic response characteristics of high and steep slopes under the action of earthquakes and blasting was focused on, especially the frequency distribution and propagation laws, which are crucial ...

Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States ...

Department of Environmental Science, The University of Arizona Tucson, Arizona 85721, United States Hydrology and Atmospheric Sciences Department, The University of Arizona, Tucson, Arizona 85721, ...

Accurate frequency estimation in a wideband digital receiver using the FFT algorithm encounters challenges, such as spectral leakage resulting from the FFT’s assumption of signal periodicity.

ABSTRACT: The National Institute of Standards and Technology (NIST) document is a list of fifteen tests for estimating the probability of signal randomness degree. Test number six in the NIST document ...