1D‐CNN based real‐time fault detection system for power asset diagnostics

I Mitiche, A Nesbitt, S Conner… - IET Generation …, 2020 - Wiley Online Library
Electromagnetic interference (EMI) diagnostics aid in identifying insulation and mechanical
faults arising in high voltage (HV) electrical power assets. EMI frequency scans are analysed …

Efficient CNN‐XGBoost technique for classification of power transformer internal faults against various abnormal conditions

M Raichura, N Chothani, D Patel - … Generation, Transmission & …, 2021 - Wiley Online Library
To increase the classification accuracy of a protection scheme for power transformer, an
effective convolution neural network (CNN) extreme gradient boosting (XGBoost) …

Grid-moving equivalent source method in a probability framework for the transformer discharge fault localization

L Yu, C Zhang, R Wang, G Yuan, X Wang - Measurement, 2022 - Elsevier
The transformer discharge fault localization is important for the power supply reliability. The
audible sound radiated by the transformer can reflect the extensive operation information …

An Overview of the Protection of Power Transformers

N Chothani, M Raichura, D Patel - Advancement in Power Transformer …, 2023 - Springer
A transformer is the heart of the entire power system and power is the heartbeat of the entire
nation for the growth of the manufacturing, production, and industrial aspects. All terms are …

Convolution Neural Network and XGBoost-Based Fault Identification in Power Transformer

N Chothani, M Raichura, D Patel - Advancement in Power Transformer …, 2023 - Springer
The power transformer is working in strained conditions due to the complex power system
structure and increasing load demand by various sectors such as industry, commercial, and …

Three-phase series arc fault detection based on two-dimensional attention PoolFormer

Q Yu, Y Zhang, L Zhao, Q Wu - Measurement Science and …, 2024 - iopscience.iop.org
Abstract Series arc faults are a major causation of electrical fires. The complexity of load
types in low-voltage distribution systems makes arc faults detection more challenging for …

[HTML][HTML] A study of dual-cantilever beam FBG sensing detection of transformer winding vibration

X Lin, J Fang, Q Huang, M Zhang, Y Tian, R Tong… - AIP Advances, 2024 - pubs.aip.org
The safe and stable operation of the transformer is the key to ensure the reliable operation of
the power grid. Loose windings will produce a vibration acceleration signal with twice the …

[引用][C] 基于CEEMDAN 的配电变压器放电故障噪声诊断方法

舒畅, 金潇, 李自品, 范淑薇 - 高电压技术, 2018

Acoustic Diagnosis of Partial Discharges in Transformers

H Shan, L Hongjing, Q Huan, Q Shou… - … IEEE Conference on …, 2020 - ieeexplore.ieee.org
Partial discharge in the transformer may generate noise. In view of this characteristic, it is
proposed to apply the audio detection method to the diagnosis of partial discharge …

[PDF][PDF] Design and Development of Digital Protection for Power Transformer

RM BHUPATRAI - 2020 - gtusitecirculars.s3.amazonaws.com
Power Transformer is one of the most essential components in electrical power network and
its protection is equally important. Various protective methodologies presently available to …