- 1D & 3D Simulation
- System Simulation Thermal
- Dynamics
- KPI’s
Data Vibration, Thermal Current etc.
Hybrid Model to Calculate RUL of the system (Cumulative damage/ KM Model)
Model to run in DT
Block Chain Integration With Edge Devices to Cloud
Digital Twin
- HMS has evolved from statistical life usage algorithms to include fuzzy logic, artificial neural networks for estimating product life.
- Our unique approach is to use physics-based failure models, Comparing real time sensor data with simulation data, online analytics for both diagnosis and prognosis to predict failure ahead of time.
- Validation virtual test with a physical test rig for certain test cases to ensure high integrity of the virtual models. Then running several test cases considering all possible defects using the virtual models.
- Development of Transfer functions for physical responses from virtual test and/or simulation data (assuming data already available) – starting point
- AI for diagnosis, physics-based analytics, ML for prognosis including estimating RUL (Remaining Useful Life), integrating reliability, probability and statistics and failure data and uncertainty quantification
- Integrating to cloud to provide real time information on the performance, also providing data for NPD
Source: Prognostics: a literature review, Hatem M. Elattar, Hamdy K. Elminir &
A. M. Riad, ISSN 2199-4536, Complex Intell. Syst. (2016) 2:125-154
- Development of Transfer functions for physical responses from virtual test and/or simulation data.
- Validation of virtual test with a physical test rig for certain test cases to ensure high integrity of the virtual models. Then running several test cases considering all possible defects using the virtual models.
- Integrating test and simulation data for complex electro-mechanical system or sub-system and to develop a firm ware (physical twin) which can be placed on the actual system or sub-system for real time diagnosis or prognosis, completely connected to cloud. Data also used later for NPD
- Test facility set up
- Simulation of all physics – vibration, thermal and current (Electro Magnetics)
- Correlating simulation with test
- Physics-based Al development
- Digital Twin development – actual hardware
- Comparison of in-situ data from test bench with simulation and enabling diagnosis
- Integration to Cloud
- GUI development
- AI for diagnosis, ML for Prognosis (RUL)
- Uncertainty quantification
