[HTML][HTML] Review of medium-voltage switchgear fault detection in a condition-based monitoring system by using deep learning

YAM Alsumaidaee, CT Yaw, SP Koh, SK Tiong… - Energies, 2022 - mdpi.com
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 …

Transfer learning based fault diagnosis of automobile dry clutch system

G Chakrapani, V Sugumaran - Engineering Applications of Artificial …, 2023 - Elsevier
Dry friction clutches are prone to fault occurrences due to their continuous exposure to
thermal loading and high abrasive rate during power transmission. Fault occurrences in …

[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 …

[HTML][HTML] 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 …

Fault detection for medium voltage switchgear using a deep learning hybrid 1D-CNN-LSTM model

YAM Alsumaidaee, JKS Paw, CT Yaw, SK Tiong… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Detecting arcing faults in switchgear by using deep learning techniques

YA Mohammed Alsumaidaee, CT Yaw, SP Koh… - Applied Sciences, 2023 - mdpi.com
Switchgear and control gear are susceptible to arc problems that arise from slowly
developing defects such as partial discharge, arcing, and heating due to faulty connections …

[HTML][HTML] Transfer learning by fine-tuning pre-trained convolutional neural network architectures for switchgear fault detection using thermal imaging

KAA Mahmoud, MM Badr, NA Elmalhy… - Alexandria Engineering …, 2024 - Elsevier
Switchgear is a vital component of modern power systems, responsible for regulating the
flow of electrical power. Contact issues, irregular loads, and other similar problems can …

Optimizing sample length for fault diagnosis of clutch systems using deep learning and vibration analysis

G Chakrapani, SN Venkatesh… - Proceedings of the …, 2024 - journals.sagepub.com
Clutches are prone to failure owing to extended heat exposure and high levels of abrasion
during power transfer. Internal damage, downtime, and permanent transmission system lock …

Autonomous Smart-Edge Fault Diagnostics via Edge-Cloud-Orchestrated Collaborative Computing for Infrared Electrical Equipment Images

YY Chen, SY Jhong, SK Tu, YH Lin… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Current methodologies in electrical equipment fault diagnosis are not based on an edge-
cloud computing architecture; however, the potential applicability of this architecture for …

[PDF][PDF] CBM 프로세스분석을통한국방CBM 운영KPI 도출에관한연구

정진은, 최경현 - Journal of the KNST, 2023 - journal.knst.kr
예방 유지보수는 고장을 감소시켜, 장비의 효율성과불가동시간 최소화에 기여하고 있다.
그러나 불필요한유지보수 활동으로 높은 비용을 지불하는 큰 단점이부각되었다. 이러한 …