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 …
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 …
Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults
A Moradzadeh, H Teimourzadeh… - International Journal of …, 2022 - Elsevier
Timely and accurate detection of transmission line faults is one of the most important issues
in the reliability of the power systems. In this paper, in order to assess the effects of …
in the reliability of the power systems. In this paper, in order to assess the effects of …
Mathematical morphology-based feature-extraction technique for detection and classification of faults on power transmission line
The permanency of highly-reliable power supply is a core trait of an electric power
transmission network. A transmission line is the main part of this network through which …
transmission network. A transmission line is the main part of this network through which …
A novel approach for classification of epileptic seizures using matrix determinant
Objective: An epileptic seizure is recognized as a neurological disorder caused by transient
and unexpected disturbance resulting from the excessive synchronous activity of the …
and unexpected disturbance resulting from the excessive synchronous activity of the …
A survey on intelligent system application to fault diagnosis in electric power system transmission lines
Fault analysis and diagnosis constitute a relevant problem in power systems, with important
economic impacts for operators, maintenance agents and the power industry in general …
economic impacts for operators, maintenance agents and the power industry in general …
Fault detection, location and classification of a transmission line
Transient stability is very important in power system. Large disturbances like fault in a
transmission line are a concern which needs to be disconnected as quickly as possible in …
transmission line are a concern which needs to be disconnected as quickly as possible in …
A matrix determinant feature extraction approach for decoding motor and mental imagery EEG in subject-specific tasks
This study introduces a novel matrix determinant feature extraction approach for efficient
classification of motor and mental imagery activities from electroencephalography (EEG) …
classification of motor and mental imagery activities from electroencephalography (EEG) …
Power system event classification and localization using a convolutional neural network
H Ren, ZJ Hou, B Vyakaranam, H Wang… - Frontiers in Energy …, 2020 - frontiersin.org
Detection and timely identification of power system disturbances are essential for situation
awareness and reliable electricity grid operation. Because records of actual events in the …
awareness and reliable electricity grid operation. Because records of actual events in the …
[HTML][HTML] A DFT-ED based approach for detection and classification of faults in electric power transmission networks
CD Prasad, PK Nayak - Ain Shams Engineering Journal, 2019 - Elsevier
This paper proposes a fast and reliable fault detection and classification scheme for electric
power transmission networks using the estimated Euclidean distance between successive …
power transmission networks using the estimated Euclidean distance between successive …