Predictive Maintenance AI
Asset Health & Time-to-Failure Engine
Machine learning models analyse real-time sensor data, historical breakdowns and operating hours to predict failures before they occur — automatically triggering maintenance tasks and grid alerts.
⚙️
6
Assets Monitored
🚨
2
Critical Risk
Immediate action
⚠️
1
High Risk
Within 60 days
💚
67%
Avg Fleet Health
Fleet Health Overview
Kafue Gorge — Unit 1
HIGH61%
TTF: 42d
4.2 mm/s72°C91.2% eff
Kariba North Bank — Transformer T1
MEDIUM87%
TTF: 180d
2.1 mm/s58°C98.1% eff
Victoria Falls — Unit 2
CRITICAL28%
TTF: 12d
7.8 mm/s81°C78.3% eff
Maamba Thermal — Generator 1
LOW91%
TTF: 210d
3.0 mm/s385°C95.4% eff
Kitwe Sub — 330kV Transformer
CRITICAL38%
TTF: 22d
5.9 mm/s76°C88.0% eff
Bangweulu Solar — Inverter Array A
LOW97%
TTF: 520d
0.4 mm/s42°C97.8% eff
Hydro Turbine
Kafue Gorge — Unit 1
Generation · 34 years · 28,400 hours run
Vibration
4.2 mm/s
Temperature
72°C
Efficiency
91.2%
Health Score
61/100
6-Month Sensor Trend
- Vibration (mm/s)
- Efficiency (%)
AI Failure Prediction
Click "Run AI Analysis" to generate a Time-to-Failure prediction for this asset.