Power Transformer Status Categories from East China Grid

Data from transformers at the Dongwu Station in the east China power grid, used to classify five typical operational states. The dataset, 5.5 KB in size, was published by Wenbo Zhang on figshare in April 2026 under a CC-BY-4.0 license. It supports a method combining 2D-CNN and BiLSTM networks for monitoring.

Use Cases

• Training classifiers for power transformer fault recognition based on multi-source sensor data.
• Benchmarking deep learning fusion models (2D-CNN and BiLSTM) for industrial time-series and image data.
• Studying the relationship between operational states and variables like partial discharge, voltage, current, and oil-dissolved gas.

Strengths

• Includes real-world data from operational transformers in the east China power grid.
• Focuses on five distinct operational status categories for clear classification tasks.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope or a very condensed feature set.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for model training.

Provenance

Source

Wenbo Zhang via figshare.

Collection Method

Collected via a multi-channel sensor platform monitoring transformers, likely including partial discharge acoustic signals, voltage, current, and oil-dissolved gas concentration.

Time Range

null

Freshness

Last updated 2026-04-20 17:41:36; freshness should be verified.

Geography

East China power grid, specifically Dongwu Station.