Energy and Power Engineering

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org
"Fault Detection and Isolation Based on Neural Networks Case Study: Steam Turbine"
written by D. Benazzouz, S. Benammar, S. Adjerid,
published by Energy and Power Engineering, Vol.3 No.4, 2011
has been cited by the following article(s):
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[1] POWER SYSTEM FAULT IDENTIFICATION AND CLASSIFICATION IN FUEL CELLS VIA ARTIFICIAL NEURAL NETWORK
2024
[2] From corrective to predictive maintenance—A review of maintenance approaches for the power industry
Mrozek, W Ding, V Sunderam… - Sensors, 2023
[3] Failure diagnosis of rotating Machines for steam turbine in Cap-Djinet thermal power plant
Engineering Failure Analysis, 2023
[4] 数据驱动的燃煤发电装备运行工况监控——现状与展望
自动化学报, 2022
[5] Estimation of circular arc crack depths and locations in rotary drilling pipes subjected to free vibrations
Vibration, 2022
[6] Criticality analysis and maintenance of solar tower power plants by integrating the artificial intelligence approach
Energies, 2021
[7] Data-driven operating monitoring for coal-fired power generation equipment: The state of the art and challenge
Hui, H Yun-Yun, Z Jia-Le, C Jun-Hao - Acta Automatica Sinica, 2021
[8] Development of intelligent early warning system for steam turbine
2019
[9] Power transmission lines fault detecting and locating using artificial neural networks
2017
[10] Fault diagnoses of steam turbine using the exponential similarity measure of neutrosophic numbers
Journal of Intelligent & Fuzzy Systems, 2016
[11] Fault detection, isolation and reconfiguration for autonomous aircraft
2016
[12] Intelligent computationally efficient modelling of multi-input multi-output non-linear dynamical process plants: An industrial s
?Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2014
[13] Implementation Of Vlsi Model As A Tool In Diagnostics Of Slowly Varying Process Parameters Which Affect The Performance Of Steam
Applied Soft Computing, Elsevier, 2014
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