A new approach to power system disturbance assessment using wide-area postdisturbance records
MK Jena, BK Panigrahi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents an empirical wavelet transform (EWT) based approach to perform
postmortem analysis of wide-area measurement (WAM) based signals. The commonly used …
postmortem analysis of wide-area measurement (WAM) based signals. The commonly used …
Bearing fault diagnosis based on shallow multi-scale convolutional neural network with attention
T Huang, S Fu, H Feng, J Kuang - Energies, 2019 - mdpi.com
Recently, deep learning technology was successfully applied to mechanical fault diagnosis.
The convolutional neural network (CNN), as a prevalent deep learning model, occupies a …
The convolutional neural network (CNN), as a prevalent deep learning model, occupies a …
PMUs data based detection of oscillatory events and identification of their associated variable: Estimation of information measures approach
Abstract Information theory can be a useful tool for quantifying the perturbations in the
associated state variables at the time of disturbance occurrence. The study introduces a …
associated state variables at the time of disturbance occurrence. The study introduces a …
[PDF][PDF] Resultatrapport NFR Project no 246784: Operation of the Smart Grid With Wide Area Information
K Uhlen - 2019 - ntnuopen.ntnu.no
This is a collaborative project between the Norwegian University of Science and Technology
(NTNU, project leader, Prof Kjetil Uhlen) and Motilal Nehru National Institute of Technology …
(NTNU, project leader, Prof Kjetil Uhlen) and Motilal Nehru National Institute of Technology …