Predictive Maintenance
AI-powered predictive maintenance solutions that reduce equipment downtime, extend asset life, and lower maintenance costs across energy infrastructure.
Predict Failures Before They Happen. Maintain What Needs It.
Reactive maintenance is expensive and disruptive. Preventive maintenance wastes money maintaining assets that do not need it. Predictive maintenance finds the right balance — using real data to service assets when they are actually at risk of failure.
AaiNova builds predictive maintenance solutions for power generation, transmission, and distribution assets — combining sensor data, machine learning, and maintenance system integration to reduce unplanned outages and extend asset life.
What We Deliver
Asset Health Monitoring
Continuous monitoring of vibration, temperature, partial discharge, and oil quality sensors for critical assets.
Sensor Data Integration
Connecting SCADA, DCS, historian, and IoT sensor data into a unified analytics platform.
Predictive Failure Models
Machine learning models that predict failure probability and time-to-failure for transformers, motors, and turbines.
Maintenance Scheduling
Optimised maintenance scheduling based on predicted risk — routing the right work to the right team at the right time.
Digital Twin
Asset digital twins that combine design data, operational history, and sensor readings for deeper diagnostics.
Reliability Engineering
Reliability-centred maintenance analysis and failure mode modelling to continuously improve maintenance strategies.