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Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line
International Journal of Innovative Science and Research TechnologyThis research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN).
Alhassan Musa Oruma +5 more
semanticscholar +1 more source
Fault in Transmission Cables and Current Fault Location Methods
2014The problem formulation of this thesis will depend on already existing fault location methods for crossbonded cables. Therefore, a literature study is conducted and the most important references are presented in the following chapter. Firstly, however, the mechanisms leading to faults in high voltage cables are briefly covered in order to examine which
openaire +1 more source
Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis
IEEE Transactions on Industrial Informatics, 2021Liangjun Feng, Chunhui Zhao
exaly
Superconducting fault current limiters
IEE Colloquium on High Tc Superconducting Materials as `Magnets', 1995Fault current limiters (FCLs), superconducting or otherwise, have the potential to reduce fault levels on electricity power networks, and may ultimately lead to lower rated components (i.e. cheaper) being used, or to increased capacity on existing systems.
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Faulting Processes Unveiled by Magnetic Properties of Fault Rocks
Reviews of Geophysics, 2020Tao Yang, Yu-Min Chou, Eric C Ferré
exaly
Fault detection and fault identification in marine current turbines
2021Tianzhen Wang, Zhichao Li, Yilai Zheng
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Fault currents and electrical protection
2010This chapter discusses the fault current and electrical protection scheme in distributed generators. Electrical faults, caused by the breakdown of insulation, are inevitable in any electrical power system. Faults may be caused by mechanical damage to the equipment or created by the degradation of insulation over time. Electrical protection is then used
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Zero-shot learning for compound fault diagnosis of bearings
Expert Systems With Applications, 2022Juan Xu, Long Zhou, Yuqi Fan
exaly

