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Fault classification of power plants using artificial neural network
MS Hassan, K Kamal… - Energy Sources, Part A …, 2022 - Taylor & Francis
In order to run power plant operations smoothly, power plant faults need to be detected,
located, and classified quickly. For this, artificial neural network approaches are considered …
located, and classified quickly. For this, artificial neural network approaches are considered …
Recurrent neural network-based base transceiver station power supply system failure prediction
YY Tefera, T Kibatu, BS Shawel… - … Joint Conference on …, 2020 - ieeexplore.ieee.org
In mobile telecom networks, Base Transceiver Station (BTS) is a key infrastructure that
connects customers with the mobile network. BTSs are geographically scattered across the …
connects customers with the mobile network. BTSs are geographically scattered across the …
Fault detection and classification of power system busbar using artificial neural network
Fault analysis is an important consideration in power system planning, protection and
overall system reliability assessment. When a fault occurs at some point in the network …
overall system reliability assessment. When a fault occurs at some point in the network …
Fault detection and diagnosis of thermal power plant using ANN. Case study with review
KS Gaeid - Samarra Journal of Engineering Science …, 2024 - journals.uosamarra.edu.iq
The paper investigates thermal power plant malfunctions, including line to line, double line
to ground, and single line to ground faults leading to system downtime. The research …
to ground, and single line to ground faults leading to system downtime. The research …
[PDF][PDF] Detection and Diagnosis of electrical faults in Samarra thermal power station using ANN based model.
RJ Hussein, KS Gaeid - Samarra Journal of Engineering Science and …, 2024 - iasj.net
Accepted: 17/03/2024 The paper investigates thermal power plant malfunctions, including
lineto-line, double line-to-ground, and single line-to-ground faults leading to system …
lineto-line, double line-to-ground, and single line-to-ground faults leading to system …
State Space Modeling and Control of Power Plant Electrical Faults with Neural Networks for Diagnosis
AS Takialddin, K Gaeid, AT Mahmood… - Available at SSRN … - papers.ssrn.com
Samarra power station is an operating power station of at least 1260 megawatts (MW) in
Samarra, Salah al-Din, Iraq. It is also known as Salah al-Din. This paper introduces a fault …
Samarra, Salah al-Din, Iraq. It is also known as Salah al-Din. This paper introduces a fault …
Recurrent Neural Network-based Base Transceiver Station Power System Failure Prediction
T Kibatu - 2019 - nadre.ethernet.edu.et
Global network infrastructures are increasing with the development of new technologies and
growth in Internet traffic. As network infrastructures increases, maintaining and monitoring …
growth in Internet traffic. As network infrastructures increases, maintaining and monitoring …