AI Powered DIGITAL TWIN PLATFORM for Aero Engines and Aircraft
AI Powered DIGITAL TWIN PLATFORM for
AeroEngines and Aircraft
AI Powered DIGITAL TWIN PLATFORM for
AeroEngines and Aircraft
Our Digital Twin for Engines is designed to modernize and extend the life of legacy, marine, and aero engines by creating a real-time virtual replica of their operational state
Digital Twin for Engines
Our Digital Twin for Engines is designed to modernize and extend the life of legacy, marine, and aero engines by creating a real-time virtual replica of their operational state. By fusing sensor data with AI-driven analytics and physics-based simulations, it provides deep performance insights, early fault detection, and predictive maintenance capabilities.
Digital Twin for Engines
Our Digital Twin for Engines is designed to modernize and extend the life of legacy, marine, and aero engines by creating a real-time virtual replica of their operational state. By fusing sensor data with AI-driven analytics and physics-based simulations, it provides deep performance insights, early fault detection, and predictive maintenance capabilities.
Target & Decoy Drone Platform
The design of the Aerial Target and Decoy System is highly reconfigurable, allowing for rapid payload swaps to adapt the system for various roles and missions. This flexibility ensures that the system can be quickly tailored to emulate different types of threats or perform specific countermeasure functions.
This system provides critical support for weapon system evaluation, targeting accuracy training, and the testing of countermeasure tactics in a controlled environment.
Digital Twin for Engines
Digital Twin for Engines
Key Features & Capabilities
Real-Time Virtual Replica
Creates a live digital model of engine operations using real-time sensor data and AI-driven analytics.
Digital Design Assistant
Integrates Multi-Disciplinary Optimization , Topology Optimization , MBSE, Lattice Boltzmann Solver , and Design of Experiments to streamline aero-engine design.
Performance Optimization
Uses AI-based Reduced Order Models (ROM) and Companion FADEC to enhance fuel efficiency and power output.
Early Fault Detection
Monitors critical engine parameters (N1, N2, TET, EGT, oil pressure, vibration) using onboard sensors and AI-based predictive analytics.
Predictive Maintenance
Analyzes test bed data and real-time engine health parameters to recommend optimized maintenance schedules, minimizing downtime.
Aerodynamic Performance Deck
Develops a digital aerodynamic performance model with HIL simulation, enabling real-time performance monitoring and trend analysis.
Digital Twin for Aerial Vehicles
provides a comprehensive, real-time health monitoring and predictive maintenance solution for unmanned aerial platforms.
Digital Twin for Aerial Vehicles
This technology creates a real-time virtual replica of the aircraft, integrating onboard sensor data with predictive analytics to optimize performance, enhance reliability, and extend operational lifespan.
Digital Twin enhances Integrated Vehicle Health Monitoring [ IVHM ] by continuously monitoring key aircraft systems, including propulsion, flight controls, and avionics, allowing early fault detection and proactive maintenance. By simulating various operational scenarios, it identifies potential failures before they occur, reducing unplanned downtime and improving mission availability.
Target & Decoy Drone Platform
The design of the Aerial Target and Decoy System is highly reconfigurable, allowing for rapid payload swaps to adapt the system for various roles and missions. This flexibility ensures that the system can be quickly tailored to emulate different types of threats or perform specific countermeasure functions.
This system provides critical support for weapon system evaluation, targeting accuracy training, and the testing of countermeasure tactics in a controlled environment.
Digital Twin for Aerial Vehicles
This technology creates a real-time virtual replica of the aircraft, integrating onboard sensor data with predictive analytics to optimize performance, enhance reliability, and extend operational lifespan.
Digital Twin enhances Integrated Vehicle Health Monitoring [ IVHM ] by continuously monitoring key aircraft systems, including propulsion, flight controls, and avionics, allowing early fault detection and proactive maintenance. By simulating various operational scenarios, it identifies potential failures before they occur, reducing unplanned downtime and improving mission availability.
Digital Twin for Aerial Vehicles
This technology creates a real-time virtual replica of the aircraft, integrating onboard sensor data with predictive analytics to optimize performance, enhance reliability, and extend operational lifespan.
Digital Twin enhances Integrated Vehicle Health Monitoring [ IVHM ] by continuously monitoring key aircraft systems, including propulsion, flight controls, and avionics, allowing early fault detection and proactive maintenance. By simulating various operational scenarios, it identifies potential failures before they occur, reducing unplanned downtime and improving mission availability.
Digital Twin for Aerial Vehicles
This technology creates a real-time virtual replica of the aircraft, integrating onboard sensor data with predictive analytics to optimize performance, enhance reliability, and extend operational lifespan.
Digital Twin enhances Integrated Vehicle Health Monitoring [ IVHM ] by continuously monitoring key aircraft systems, including propulsion, flight controls, and avionics, allowing early fault detection and proactive maintenance. By simulating various operational scenarios, it identifies potential failures before they occur, reducing unplanned downtime and improving mission availability.
Digital Twin for Aerial Vehicles [IVHM]
Digital Twin for Aerial Vehicles [IVHM]
![Digital Twin for Aerial Vehicles [IVHM] - visual selection 2.png](https://static.wixstatic.com/media/a0e3fd_035857a7fd5240aaace262a80f6f9ba2~mv2.png/v1/fill/w_49,h_32,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_avif,quality_auto/Digital%20Twin%20for%20Aerial%20Vehicles%20%5BIVHM%5D%20-%20visual%20selection%202.png)
Key Features & Capabilities
Structural Health Monitoring
Uses strain gauges, acoustic sensors, and other methods to detect fatigue, cracks, and delamination in airframe structures.
Flight Control System Health
Ensures actuators, servos, and control surfaces function correctly, detecting anomalies in real time.
Electrical System Monitoring
Assesses battery health, power distribution, and wiring integrity to prevent failures.
Propulsion System Diagnostics
Detects potential issues in jet engines, turboprops, or electric propulsion systems to prevent mid-air failures.
Sensor and Avionics Health
Checks navigation, communication, and onboard radar systems for degraded performance.
Predictive Maintenance
Uses AI and machine learning to predict component failures before they occur, reducing unscheduled downtime.
Fault Tolerance and Redundancy
Ensures backup systems activate in case of primary system failure, enhancing survivability.
The next generation platform for affordable autonomous aerial systems
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The next generation platform for affordable autonomous aerial systems