transformer_minimal_dataset

This file contains the minimal anonymized dataset used for the evaluation of the proposed spatiotemporal graph neural network (STGNN) framework for power transformer health monitoring. File name: transformer_minimal_dataset.csvFormat: CSV (Comma-Separated Values)Number of records: 2880 (2 days of 1-minute interval data)Number of variables: 19 (18 sensor variables + 1 anomaly label)

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-08
DOI
https://doi.org/10.5281/zenodo.17075968
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

transformer_minimal_dataset

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

transformer_minimal_dataset

article en

Abstract

This file contains the minimal anonymized dataset used for the evaluation of the proposed spatiotemporal graph neural network (STGNN) framework for power transformer health monitoring. File name: transformer_minimal_dataset.csvFormat: CSV (Comma-Separated Values)Number of records: 2880 (2 days of 1-minute interval data)Number of variables: 19 (18 sensor variables + 1 anomaly label)

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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transformer_minimal_dataset · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS