Machine learning applications in power system fault diagnosis: Research advancements and perspectives
Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …
system protection schemes. Adaptive and intelligent protection methodology, based on …
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 …
CNN-based transformer model for fault detection in power system networks
JB Thomas, SG Chaudhari… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Fault detection and localization in electrical power lines has long been a crucial challenge
for electrical engineers as it allows the detected fault to be isolated and recovered promptly …
for electrical engineers as it allows the detected fault to be isolated and recovered promptly …
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 …
Fault management in DC microgrids: A review of challenges, countermeasures, and future research trends
The significant benefits of DC microgrids have instigated extensive efforts to be an
alternative network as compared to conventional AC power networks. Although their …
alternative network as compared to conventional AC power networks. Although their …
A review of fault diagnosing methods in power transmission systems
Transient stability is important in power systems. Disturbances like faults need to be
segregated to restore transient stability. A comprehensive review of fault diagnosing …
segregated to restore transient stability. A comprehensive review of fault diagnosing …
Transmission line faults in power system and the different algorithms for identification, classification and localization: a brief review of methods
A Mukherjee, PK Kundu, A Das - Journal of The Institution of Engineers …, 2021 - Springer
Transmission lines are one of the most widely distributed engineering systems meant for
transmitting bulk amount of power from one corner of a country to the farthest most in the …
transmitting bulk amount of power from one corner of a country to the farthest most in the …
Neural architecture search algorithm to optimize deep transformer model for fault detection in electrical power distribution systems
JB Thomas, KV Shihabudheen - Engineering Applications of Artificial …, 2023 - Elsevier
This paper proposes a neural architecture search algorithm for obtaining an optimum
Transformer model to detect and localize different power system faults and uncertain …
Transformer model to detect and localize different power system faults and uncertain …
Fault detection through discrete wavelet transform in overhead power transmission lines
Transmission lines are a very important and vulnerable part of the power system. Power
supply to the consumers depends on the fault‐free status of transmission lines. If the normal …
supply to the consumers depends on the fault‐free status of transmission lines. If the normal …
Fault detection in distillation column using NARX neural network
Fault detection in the process industries is one of the most challenging tasks. It requires
timely detection of anomalies which are present with noisy measurements of a large number …
timely detection of anomalies which are present with noisy measurements of a large number …