专题：Electrical Fault Detection and Protection

This cluster of papers focuses on the detection and localization of arc faults in electrical systems, particularly in the context of photovoltaic systems and aircraft wiring. The research involves various methods such as reflectometry, time-domain analysis, and machine learning for identifying and pinpointing series faults in wires.
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Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line

article Full Text OpenAlex 1767 FWCI277.6366

Unified Grounding Systems for Future Projects to Ensure Public Safety and Improve Performance

article Full Text OpenAlex 449 FWCI70.9498

Wavelet transform for rotary machine fault diagnosis:10 years revisited

article Full Text OpenAlex 299 FWCI32.2583

CNN-Based Transformer Model for Fault Detection in Power System Networks

article Full Text OpenAlex 279 FWCI30.1006

Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosis

article Full Text OpenAlex 272 FWCI29.4812

Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications

article Full Text OpenAlex 261 FWCI18.9233

Faults detection and diagnosis of PV systems based on machine learning approach using random forest classifier

article Full Text OpenAlex 238 FWCI15.652

TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis

article Full Text OpenAlex 222 FWCI23.9796

Methods of photovoltaic fault detection and classification: A review

article Full Text OpenAlex 216 FWCI11.5735

Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis

article Full Text OpenAlex 211 FWCI22.8336