Recognition method of voltage sag causes based on two‐dimensional transform and deep learning hybrid model
Z Zheng, L Qi, H Wang, A Pan, J Zhou - IET Power Electronics, 2020 - Wiley Online Library
The voltage sags' caused recognition is the basis for formulating governance plans and
clarifying liabilities for accidents. The diversification of smart grid equipment, the grid …
clarifying liabilities for accidents. The diversification of smart grid equipment, the grid …
Transmission lines fault location estimation based on artificial neural networks and power quality monitoring data
T Hubana - 2018 IEEE PES Innovative Smart Grid …, 2018 - ieeexplore.ieee.org
Fault location estimation is a very important question in electric power system, in order to
isolate the fault as soon as possible, and to recover the system with minimal interruptions. In …
isolate the fault as soon as possible, and to recover the system with minimal interruptions. In …
Classification of Power Quality Disturbances using the Unique Combination of Hilbert Transform, Image Processing and K-Nearest Neighbor
RS Kankale, SR Paraskar… - … Conference on Emerging …, 2022 - ieeexplore.ieee.org
This paper introduces the unique combination of Hilbert Transform (HT), Image Processing,
and K-Nearest Neighbor (KNN) for classifying the Power Quality Disturbances (PQDs) …
and K-Nearest Neighbor (KNN) for classifying the Power Quality Disturbances (PQDs) …
Feature Extraction and Classification of Power Quality Events Based on Fast Fourier Transformation and Artificial Neural Network
E Güney, Ç Kocaman - Black Sea Journal of Engineering and …, 2021 - dergipark.org.tr
This paper presents an effective method for detection and classification of Power Quality
Events (PQE), based on Fast Fourier Transformation (FFT) for event identification and …
Events (PQE), based on Fast Fourier Transformation (FFT) for event identification and …
Real-Time Event Based Predictive Modelling for Industrial Control and Monitoring
MF Futra Zamsyah Bin - 2020 - bura.brunel.ac.uk
The purpose of this research work is to presents a novel event-based predictive modelling
technique, namely, Event Modeller Data Analytic (EMDA), applicable for a large-scale real …
technique, namely, Event Modeller Data Analytic (EMDA), applicable for a large-scale real …