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Integration of Data and Physics Based Models for Fault Management
Completed
TRL 6 (started at 5, targeting 6)
Description
Fault management is a critical component of many systems, especially space systems. As the number and complexity of space systems increases, there is a need to automate fault management. This is a challenging task as automated fault management relies on models and as the complexity of spacecraft increases, reliance on just pure physics-based or pure data-based modeling is shown to be deficient for accurate fault management. Nirvana Technology, Inc. (NT) proposes to develop an integrated approach to address the modeling issues. Here, both data-based and physics-based approaches are integrated, and compared against each other, for providing the most reliable fault management solution, through a Digital Twin (DT) algorithm or architecture. NT’s DT formulation is based on an integrated algorithm that combines, on a real-time basis, dynamic system models utilizing physics-based low-order models of the system, and statistical and machine learning algorithms applied to data from the various sensors employed.
Benefits
Nirvana believes that the development of automated fault management software will be beneficial to many programs in the Space Technology Mission Directorate (STMD) that rely on autonomous spacecraft or systems. Like spacecraft, aircraft could benefit from automated fault detection. As such, the programs in the Aeronautics Research Mission Directorate (ARMD) could also benefit from the proposed work.
The topic of fault management is not just limited to space systems. Power generation and aviation industries also need robust fault management approaches, to guide their plant maintenance or maintenance and repair activities. In particular, the proposing team has been working with several turbine manufacturers – Siemens and Mitsubishi, and utility companies to develop Digital Twin architecture.
Details
| Technology area | Autonomous Systems > Reasoning and Acting Technologies > Fault Diagnosis and Prognosis |
| Program | Small Business Innovation Research/Small Business Tech Transfer (SBIR/STTR) |
| Lead organization | Nirvana Technologies, Inc, Dayton, OH |
| Start date | 2020-08-31 |
| End date | 2021-03-01 |
Project contacts
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How to get involved
This is early/mid-stage (TRL 6) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.
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