 |
Rotorcraft
CBM |
Structural
Health Monitoring |
Engine
Health Monitoring and CBM |
| SYSTEM
MODEL |
• Fatigue model analysis
for critical components
• Data-driven diagnostics & prognostics based on High
Performance Real Time Artificial Neural Network (ONGFE and Collaborative
learning engine).
|
•Square Plate
Models (specimens) for Aluminum and Composite material
•Fatigue model analysis
•Observer Model for Sensor and System Failure Detection
• State-Chi-Square Test
• Robust Kalman filter.
• Data-driven diagnostics & prognostics based on High
Performance Real Time Artificial Neural Network (ONGFE and Collaborative
learning engine). |
• State-Chi-Square Test
• Robust Kalman filter.
• Residual Analysis
• Data-driven diagnostics & Prognostics based on High
Performance Real Time Artificial Neural Network (ONGFE and Collaborative
learning engine). |
| TARGET/OBJECT
ACQUISITION & RECOGNITION |
|
|
|
| CONTROL |
|
|
|
| GUIDANCE |
|
|
|
| INTEGRATED
GUIDANCE & CONTROL |
|
|
|
| NAVIGATION |
|
|
|
| COMMUNICATIONS |
•Zigbee (IEEE 802.15.4)
•Bluetooth
•Cellular Networks
•High Speed Wireless Data Links
|
•Zigbee (IEEE 802.15.4)
•Bluetooth
•Cellular Networks
•High Speed Wireless Data Links
|
•Zigbee (IEEE 802.15.4)
•Bluetooth
•Cellular Networks
•High Speed Wireless Data Links |
| HARDWARE |
•MicroElectroMechanical
Systems
•Ultra-low power processors (microcontroller, microprocessors,
and DSP)
•PC104, PC104-Plus, Single Board Computer, Smart Devices
(android, iPhone, and tablets), Power PC, ruggedized mobile
computers
•ASIC-Analog/Mixed-mode
•Electromechanical Design
•CNC Machines
•PCB Layout
•Circuit Simulation/ Analysis
•EMI
•Firmware (FPGA) Development |
•MicroElectroMechanical
Systems
•Ultra-low power processors (microcontroller, microprocessors,
and DSP)
•PC104, PC104-Plus, Single Board Computer, Smart Devices
(android, iPhone, and tablets), Power PC, ruggedized mobile
computers
•ASIC-Analog/Mixed-mode
•Electromechanical Design
•CNC Machines
•PCB Layout
•Circuit Simulation/ Analysis
•EMI
•Firmware (FPGA) Development |
•MicroElectroMechanical
Systems
•Ultra-low power processors (microcontroller, microprocessors,
and DSP)
•PC104, PC104-Plus, Single Board Computer, Smart Devices
(android, iPhone, and tablets), Power PC, ruggedized mobile
computers
•ASIC-Analog/Mixed-mode
•Electromechanical Design
•CNC Machines
•PCB Layout
•Circuit Simulation/ Analysis
•EMI
•Firmware (FPGA) Development |
| SOFTWARE |
• coremicro® Real-Time
Structure Health Monitoring Kernel (RTSHM-Kernel)
•Optimized Neuro Genetic Fast Estimator (ONGFE)
•Unsupervised clustering toolbox
•Proprietary Collaborative Learning Toolbox
•Real Time Interface Software
•Windows CE
•Unix
•Embedded OS |
•
coremicro® Real-Time Structure Health Monitoring Kernel
(RTSHM-Kernel)
•Optimized Neuro Genetic Fast Estimator (ONGFE)
•Unsupervised clustering toolbox
•Proprietary Collaborative Learning Toolbox
•Real Time Interface Software
•Windows CE
•Unix
•Embedded OS
|
•Optimized
Neuro Genetic Fast Estimator (ONGFE)
• coremicro® Real-Time Structure Health Monitoring
Kernel (RTSHM-Kernel)
•Unsupervised clustering toolbox
•Proprietary Collaborative Learning Toolbox
•Real Time Interface Software
•Windows CE
•Unix
•Embedded OS
|
| SENSOR
SUITE |
•Strain Gages
•PZT sensors
•Accelerometers
•Inertial Measurement Unit
•MEMS Sensors
•GPS
|
•Strain Gages
•PZT sensors
•Accelerometers
•MEMS sensors
|
•Pressure
•Flow
•Accelerometers
•PZT sensors
•Temperature
•MEMS sensors |
