Power transformer fault diagnosis based on a self-strengthening offline pre-training model

M Zhong, S Yi, J Fan, Y Zhang, G He, Y Cao… - … Applications of Artificial …, 2023 - Elsevier
Accurate transformer fault diagnosis is crucial for maintaining the power system stability.
Due the complex operation condition of the transformer, its faults are with the characteristic …

Accurate fault section diagnosis of power systems with a binary adaptive quadratic interpolation learning differential evolution

X Liu, G Xiong, S Mirjalili - Reliability Engineering & System Safety, 2024 - Elsevier
Fault section diagnosis (FSD) is essential for ensuring the effective operation of power
systems. To determine the faulty sections accurately, we proposed an improved binary …

[HTML][HTML] Faulty feeder selection based on improved Hough transform in resonant grounded distribution networks

X Wang, X Qu, L Guo, Z Zhang, Y Wang… - International Journal of …, 2024 - Elsevier
Due to the weak fault characteristics and inaccurate fault line selection during high
impedance faults, this paper proposes a new method for fault line selection in resonant …

GIS Fault Prediction Approach Based on IPSO-LSSVM Algorithm

H Zhao, G Zhang, X Yang - Sustainability, 2022 - mdpi.com
With the improvement of industrialization, the importance of equipment failure prediction is
increasing day by day. Accurate failure prediction of gas-insulated switchgear (GIS) in …

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy …

R Zhao, J Lu, Q Chen, N Zhou, H Liu - Electronics, 2024 - mdpi.com
The distribution network is a crucial component of the power system as it directly connects to
users and serves the purpose of distributing power and balancing the load. With the …