Feasibility Study on the Detection of Turn-to-Turn Fault Severity in the Transformer Winding by Frequency Response Analysis and Numerical Indices
Author:
Affiliation:
1. School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2185834
Reference38 articles.
1. Influence of the Load on the Impulse Frequency Response Approach Based Diagnosis of Transformer’s Inter-Turn Short-Circuit
2. Turn-to-turn fault monitoring methods in electrical power transformers-State of the art
3. Transformer Practical Turn-to-Turn Fault Detection Performance using Negative Sequence and Space Vector-Based Methods
4. Prototype of a Negative-Sequence Turn-to-Turn Fault Detection Scheme for Transformers
5. Online monitoring of power transformers for detection of internal winding short circuit faults using negative sequence analysis
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1. A New Improved Methodology to Identify an Interturn Fault Location in Transformer Winding Based on Fault Location Factor;IEEE Transactions on Industrial Electronics;2024-11
2. Evaluation of Mechanical Fault’s Severity in Power Transformers by using Maximum Points of FRA Window Curves;2023 3rd International Conference on Electrical Machines and Drives (ICEMD);2023-12-20
3. Hierarchical spiking neural network auditory feature based dry-type transformer fault diagnosis using convolutional neural network;Measurement Science and Technology;2023-12-11
4. A New Application of Machine Learning Based Methods for Disk Space Variation Fault Diagnosis in Transformer Windings;2023 13th International Conference on Computer and Knowledge Engineering (ICCKE);2023-11-01
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