Condition Monitoring of Distribution Transformers Using Frequency Response Traces and Artificial Neural Network to Detect the Extent of Windings Axial Displacements

Research article (2022 26th International Electrical Power Distribution Conference (EPDC), 2022) · cited 10× · AI/ML
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Condition Monitoring of Distribution Transformers Using Frequency Response Traces and Artificial Neural Network to Detect the Extent of Windings Axial Displacements

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Condition Monitoring of Distribution Transformers Using Frequency Response Traces and Artificial Neural Network to Detect the Extent of Windings Axial Displacements is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Condition Monitoring of Distribution Transformers Using Frequency Response Traces and Artificial Neural Network to Detect the Extent of Windings Axial Displacements. Retrieved May 24, 2026, from https://4ort.xyz/entity/condition-monitoring-of-distribution-transformers-using-frequency-response-traces-and-artificial-neural-network-to-detec
MLA “Condition Monitoring of Distribution Transformers Using Frequency Response Traces and Artificial Neural Network to Detect the Extent of Windings Axial Displacements.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/condition-monitoring-of-distribution-transformers-using-frequency-response-traces-and-artificial-neural-network-to-detec.
BibTeX @misc{4ortxyz_condition-monitoring-of-distribution-transformers-using-frequency-response-traces-and-artificial-neural-network-to-detec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Condition Monitoring of Distribution Transformers Using Frequency Response Traces and Artificial Neural Network to Detect the Extent of Windings Axial Displacements}}, year = {2026}, url = {https://4ort.xyz/entity/condition-monitoring-of-distribution-transformers-using-frequency-response-traces-and-artificial-neural-network-to-detec}, note = {Accessed: 2026-05-24}}
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