| --- |
| license: mit |
| task_categories: |
| - time-series-forecasting |
| tags: |
| - anomaly-detection |
| - turbine-monitoring |
| - iot |
| - scada |
| - rag-ready |
| size_categories: |
| - n<1K |
| --- |
| |
| # Turbine Sensor Streams Dataset |
|
|
| Production-ready gas turbine telemetry data for anomaly detection. |
| Designed to simulate real enterprise RAG documents for the IoT Anomaly Agent Space. |
|
|
| ## Overview |
|
|
| This dataset provides realistic sensor streams that mirror actual SCADA exports |
| from power plant DCS systems (Emerson Ovation, ABB Symphony). Use these files |
| to test anomaly detection or upload your own telemetry data. |
|
|
| ## Files |
|
|
| | File | Description | Status | |
| |------|-------------|--------| |
| | `gt_unit1_baseline_jan2025.csv` | GE 7FA Unit 1 - Normal operation baseline | Normal | |
| | `gt_unit2_bearing_event_jan2025.csv` | GE 7FA Unit 2 - Developing bearing issue | Anomaly | |
|
|
| ## Data Schema |
|
|
| Matches standard SCADA/historian CSV exports: |
|
|
| ``` |
| timestamp - ISO 8601 timestamp (5-minute intervals) |
| exhaust_temp - Turbine exhaust temperature (F) |
| vibration_x - X-axis vibration velocity (in/s) |
| vibration_y - Y-axis vibration velocity (in/s) |
| bearing_temp - Journal bearing temperature (F) |
| inlet_pressure - Compressor inlet pressure (psi) |
| lube_oil_pressure - Lubrication system pressure (psi) |
| fuel_flow - Natural gas flow rate (MSCF/hr) |
| ``` |
|
|
| ## Upload Your Own Data |
|
|
| The IoT Anomaly Agent Space accepts CSV uploads with this schema. |
| Export from your historian (PI, PHD, Wonderware) and upload for instant |
| anomaly detection and root cause analysis. |
|
|
| ## RAG Integration |
|
|
| These documents are indexed for retrieval-augmented generation: |
| - Asset identification by unit number |
| - Temporal context for event correlation |
| - Failure mode pattern matching |
| - Maintenance history cross-reference |
|
|
