Fault location and detection techniques in power distribution systems with distributed generation: A review
Distribution systems are continuously exposed to fault occurrences due to various reasons,
such as lightning strike, failure of power system components due to aging of equipment and …
such as lightning strike, failure of power system components due to aging of equipment and …
Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …
techniques to prevent undesired interruptions and expenses. One of the most important part …
[HTML][HTML] Real-time sensing and fault diagnosis for transmission lines
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …
system engineering. Accurate and timely detection and identification of transmission line …
A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications
The advancement of the Internet of Things (IoT) technologies will play a significant role in
the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one …
the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one …
Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction
YQ Chen, O Fink, G Sansavini - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Accurate and timely diagnosis of transmission line faults is key for reliable operations of
power systems. Existing fault-diagnosis methods rely on expert knowledge or extensive …
power systems. Existing fault-diagnosis methods rely on expert knowledge or extensive …
Deep-learning-based fault classification using Hilbert–Huang transform and convolutional neural network in power distribution systems
MF Guo, NC Yang, WF Chen - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Fault classification is important for the fault cause analysis and faster power supply
restoration. A deep-learning-based fault classification method in small current grounding …
restoration. A deep-learning-based fault classification method in small current grounding …
Self attention convolutional neural network with time series imaging based feature extraction for transmission line fault detection and classification
This paper introduces a novel self-attention convolutional neural network (SAT-CNN) model
for detection and classification (FDC) of transmission line faults. The transmission lines …
for detection and classification (FDC) of transmission line faults. The transmission lines …
CPS data streams analytics based on machine learning for Cloud and Fog Computing: A survey
Cloud and Fog computing has emerged as a promising paradigm for the Internet of things
(IoT) and cyber–physical systems (CPS). One characteristic of CPS is the reciprocal …
(IoT) and cyber–physical systems (CPS). One characteristic of CPS is the reciprocal …
[HTML][HTML] Fast and accurate fault detection and classification in transmission lines using extreme learning machine
To provide stability and a continuous supply of power, the detection and classification of
faults in the transmission lines (TLs) are crucial in this modern age. It is required to remove a …
faults in the transmission lines (TLs) are crucial in this modern age. It is required to remove a …
Machine learning for power system protection and control
Since the power system is undergoing a transition into a more flexible and complex system,
it urges improvements in fault diagnosis techniques for the power system protection to avoid …
it urges improvements in fault diagnosis techniques for the power system protection to avoid …