Power Transformer Operational Status Categories from East China Grid

Five typical operation status categories for power transformers, based on real data from the Dongwu Station in the east China power grid. The dataset, 5.5 KB in size and stored in an XLS file, was created by Wenbo Zhang and last updated on April 20, 2026. It supports a proposed multi-source deep feature extraction and fusion method for online transformer status monitoring.

Use Cases

• Classifying transformer operational states based on multi-channel sensor data like partial discharge signals and oil-dissolved gas.
• Training deep learning models for spatial feature extraction from images of transformer data.
• Training deep learning models for temporal dependency capture from sequential sensor readings.
• Benchmarking multi-modal fusion methods against traditional and single-modal models for fault recognition.

Strengths

• Dataset is licensed under CC-BY-4.0, allowing for open sharing and adaptation.
• Based on real operational data from a specific power grid station, providing a realistic test case.
• Explicitly designed to address small-sample fault recognition challenges in the domain.

Limitations

• Row count is unknown, which may limit suitability assessment for model training.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope and sample size.

Provenance

Source

Real data from transformers at Dongwu Station in the east China power grid.

Collection Method

Collected via a multi-channel sensor platform measuring variables like 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.