Transformer Faults Detection using Inrush Transients based on Multi-class SVM
Author:
Affiliation:
1. IIT (ISM),Department of Electrical Engineering,Dhanbad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10077526/10077615/10077668.pdf?arnumber=10077668
Reference21 articles.
1. Performance Assessment of a Wavelet-Based Differential Protection scheme in the Inter-Turn Fault Detection in a Transformer
2. The actual measurement and analysis of transformer winding deformation fault degrees by FRA using mathematical indicators
3. Low second-harmonic content in transformer inrush currents - Analysis and practical solutions for protection security
4. Mechanism Analysis of Sympathetic Inrush in Traction Network Cascaded Transformers Based on Flux-Current Circuit Model
5. Support Vector Classifier-Based Broken Rotor Bar Detection in Squirrel Cage Induction Motor
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1. Inrush Current Identification Based on Mathematical Morphology and LSSVM;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11
2. Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation;Scientific Reports;2024-01-16
3. Efficient Residual LSTM-based Short Duration Polarization Current Forecasting Technique of Transformer;2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE);2023-12-14
4. Thermal Images Captured and Classifier-based Fault Detection System for Electric Motors Through ML Based Model;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12
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