Review of medium-voltage switchgear fault detection in a condition-based monitoring system by using deep learning
In power energy distribution networks, switchgear is considered critical equipment. This is
because the act of monitoring the operation and condition of switchgear, as well as …
because the act of monitoring the operation and condition of switchgear, as well as …
[HTML][HTML] Detection of corona faults in switchgear by using 1D-CNN, LSTM, and 1D-CNN-LSTM methods
YAM Alsumaidaee, CT Yaw, SP Koh… - Sensors (Basel …, 2023 - ncbi.nlm.nih.gov
The damaging effects of corona faults have made them a major concern in metal-clad
switchgear, requiring extreme caution during operation. Corona faults are also the primary …
switchgear, requiring extreme caution during operation. Corona faults are also the primary …
Fault detection for medium voltage switchgear using a deep learning hybrid 1D-CNN-LSTM model
Medium voltage (MV) switchgear is a vital part of modern power systems, responsible for
regulating the flow of electrical power and ensuring the safety of equipment and personnel …
regulating the flow of electrical power and ensuring the safety of equipment and personnel …
Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
YA Mohammed Alsumaidaee, CT Yaw, SP Koh… - Sensors, 2023 - mdpi.com
The damaging effects of corona faults have made them a major concern in metal-clad
switchgear, requiring extreme caution during operation. Corona faults are also the primary …
switchgear, requiring extreme caution during operation. Corona faults are also the primary …
Fault classification system for switchgear cbm from an ultrasound analysis technique using extreme learning machine
Currently, the existing condition-based maintenance (CBM) diagnostic test practices for
ultrasound require the tester to interpret test results manually. Different testers may give …
ultrasound require the tester to interpret test results manually. Different testers may give …
[PDF][PDF] Application of multilayer perceptron to deep reinforcement learning for stock market trading and analysis
HK Sagiraju, S Mogalla - Indonesian Journal of Electrical …, 2021 - academia.edu
Trading strategies to maximize profits by tracking and responding to dynamic stock market
variations is a complex task. This paper proposes to use a multilayer perceptron method (a …
variations is a complex task. This paper proposes to use a multilayer perceptron method (a …
[PDF][PDF] Classification of malware using multinomial linked latent modular double q learning
SV Kudrekar, UR Vinayakamurthy - Indonesian Journal of Electrical …, 2022 - academia.edu
In recent times, malware has progressed by utilizing distinct advanced machine learning
techniques for detection. However, the model becomes complicated and the singular value …
techniques for detection. However, the model becomes complicated and the singular value …