AI Powered Predictive Maintenance
Modern defence systems demand the highest levels of operational readiness and reliability. Unplanned equipment failures can compromise mission success and national security. Traditional maintenance methods—reactive or scheduled—are no longer sufficient. AI-powered predictive maintenance offers a transformative solution by leveraging real-time sensor data, historical maintenance records, and machine learning algorithms to predict and prevent failures before they occur. This proactive approach enhances the reliability, safety, and availability of mission-critical assets across naval, air, and ground defence platforms.
Key Features
Real-Time Monitoring of Equipment Health
Continuous tracking vibration, temperature, pressure, acoustic electrical parameters through IoT- enabled sensors.
Adaptive Learning Models
Machine Learning models continuously improve as new data becomes available, ensuring higher prediction accuracy over time.
Intelligent Fault Diagnosis
Uses AI algorithms to detect abnormal patterns and predict the onsets of fault with high accuracy.
Anomaly Detection & Early Warning System
Provides real-time alerts for critical deviations to avoid catastrophic failures.
Multi-Source Data Integration
Combines data from CMMS, DART, test agencies, and technical manuals to build a holistic health profile.
Anomaly Detection & Early Warning System
Provides real-time alerts for critical deviations to avoid catastrophic failures.
Typical Equipments Monitored
Naval Platforms
1. Main Engines and Propulsion Systems
2. Steering Gear Systems
3. Diesel Generators
4. Pumps (Seawater, Freshwater, Fuel)
Air Platforms
1. Turbine Engines
2. Landing Gear Systems
3. Hydraulic Systems
4. Avionic Cooling Units
Ground Systems
1. Engines and Transmissions
2. Hydraulic Systems
Awards and Recognition
Key Customers
