04 — Hydraulic Regime Detection
Differential pressure analysis and Gaussian Mixture Model clustering to identify two distinct operational regimes.
chiller-plant clustering gmm hydraulics regime-detection
Pythonscikit-learnmatplotlib
Key Findings
- ● Bimodal delta-P distribution reveals two hydraulic configurations
- ● GMM clustering identifies 422 hours in regime 0 vs 922 hours in regime 1
- ● Q² vs delta-P scatter confirms two distinct flow-pressure relationships
Investigates hydraulic operating regimes using differential pressure histograms, hydraulic coefficient analysis (k_hyd = ΔP/Q²), and unsupervised Gaussian Mixture Model clustering on pressure and fan power features.