- Technology
- / Physics and Image Based Analytics
- Analysis of historical or real time test data with & without defects
- Analysis of historical or simulation data under operating loads with & without defects
- AI for diagnosis
- ML for prognosis
- Integrating Reliability, Probability and Statistics to predict RUL
- Provide real-time diagnostic and prognostic information
- Uncertainty quantification
- / Semi-empirical Transfer function Development
- Integrate test data with Analysis data to develop semi-empirical transfer functions
- Includes uncertainties that cannot be directly measured or simulated such as:…..manufacturing defects (porosity, cracks etc.) …..material properties (heat treatment, hardness, etc.) …. surface finish . micro-structure . residual stress etc.
- Integrate the transfer function to a firmware (DT) for real time diagnosis and prognosis
- / Associated GUI Development and Integration
- GUI development to look at real time data.
- Display of performance parameters (physical responses). Parameters could be acceleration, current, temperature, battery state, charging, discharged, heated etc.)
- Warning indicators close to expected failure
- Integration with cloud
- Cyber security
- Application
- /Electric Vehicles
- Battery Management Systems
- Fleet Management Systems
- Charge/Power management systems
- DT of EV – real time performance management – weight, speed, range, wind, slope & gradability – factors affecting the EV performance
- / Automotive / Aerospace
- Powertrain Noise and Vibration
- Durability, Fatigue and Damage
- Vehicle dynamics
- Rotor dynamic applications
- Brake design
- CVJ design
- System level design sensitivities and responses
- / Real Time Advisory Based On Integration
- Physics, Math and Engineering
- Data Analytics, AI and ML
- Domain Knowledge and Experience
- Test data with Analysis data
- Integration to inventory control and maintenance
