davidfertube/turbine-life-predictor
Tabular Regression • Updated
cycle int64 1 20 | health_index float64 24.7 98.5 | vibration float64 0.12 0.62 | heat_rate_delta float64 0.8 12 | operating_hours int64 45.3k 72.8k | start_count int64 892 1.25k |
|---|---|---|---|---|---|
1 | 98.5 | 0.12 | 0.8 | 45,250 | 892 |
2 | 98.2 | 0.12 | 0.9 | 45,274 | 892 |
3 | 97.9 | 0.13 | 1 | 45,298 | 893 |
4 | 97.6 | 0.13 | 1.1 | 45,322 | 893 |
5 | 97.3 | 0.13 | 1.2 | 45,346 | 894 |
6 | 97 | 0.14 | 1.3 | 45,370 | 894 |
7 | 96.7 | 0.14 | 1.4 | 45,394 | 895 |
8 | 96.4 | 0.14 | 1.5 | 45,418 | 895 |
9 | 96.1 | 0.15 | 1.6 | 45,442 | 896 |
10 | 95.8 | 0.15 | 1.7 | 45,466 | 896 |
11 | 95.5 | 0.15 | 1.8 | 45,490 | 897 |
12 | 95.2 | 0.16 | 1.9 | 45,514 | 897 |
13 | 94.9 | 0.16 | 2 | 45,538 | 898 |
14 | 94.6 | 0.16 | 2.1 | 45,562 | 898 |
15 | 94.3 | 0.17 | 2.2 | 45,586 | 899 |
16 | 94 | 0.17 | 2.3 | 45,610 | 899 |
17 | 93.7 | 0.17 | 2.4 | 45,634 | 900 |
18 | 93.4 | 0.18 | 2.5 | 45,658 | 900 |
19 | 93.1 | 0.18 | 2.6 | 45,682 | 901 |
20 | 92.8 | 0.18 | 2.7 | 45,706 | 901 |
1 | 52.5 | 0.38 | 5.8 | 72,500 | 1,245 |
2 | 51.2 | 0.39 | 6 | 72,524 | 1,245 |
3 | 49.8 | 0.4 | 6.2 | 72,548 | 1,246 |
4 | 48.3 | 0.41 | 6.5 | 72,572 | 1,246 |
5 | 46.7 | 0.42 | 6.8 | 72,596 | 1,247 |
6 | 45 | 0.43 | 7.1 | 72,620 | 1,247 |
7 | 43.2 | 0.45 | 7.5 | 72,644 | 1,248 |
8 | 41.3 | 0.46 | 7.9 | 72,668 | 1,248 |
9 | 39.3 | 0.48 | 8.3 | 72,692 | 1,249 |
10 | 37.2 | 0.5 | 8.8 | 72,716 | 1,249 |
11 | 35 | 0.52 | 9.3 | 72,740 | 1,250 |
12 | 32.6 | 0.54 | 9.9 | 72,764 | 1,250 |
13 | 30.1 | 0.56 | 10.5 | 72,788 | 1,251 |
14 | 27.5 | 0.59 | 11.2 | 72,812 | 1,251 |
15 | 24.7 | 0.62 | 12 | 72,836 | 1,252 |
Production-ready asset health data for Combined Cycle Gas Turbine RUL prediction. Designed to simulate real enterprise RAG documents for the Predictive Maintenance Space.
This dataset provides realistic operational data that mirrors what you'd find in actual power plant historian systems (PI, OSIsoft, Honeywell PHD). Use these files to test the RUL prediction model or upload your own asset data.
| File | Description | Use Case |
|---|---|---|
ge_7fa_unit3_q4_2024.csv |
GE Frame 7FA Unit 3 - Q4 2024 health data | Healthy asset trending |
siemens_sgt800_overhaul.csv |
Siemens SGT-800 pre-overhaul condition | Degradation detection |
Matches standard power plant historian exports:
cycle - Operating cycle count
health_index - Composite health score (0-100%)
vibration - RMS vibration velocity (in/s)
heat_rate_delta - Deviation from design efficiency (%)
operating_hours - Cumulative runtime hours
start_count - Hot/warm/cold start cycles
The Predictive Maintenance Space accepts CSV uploads with this schema. Export from your historian (PI, PHD, etc.) and upload for instant RUL analysis.
These documents are indexed for retrieval-augmented generation: