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Habitats Optimized for Missions of Exploration (HOME)

This project is a collaboration between multiple universities with the goal of developing new paradigms for the design of NASA’s deep-space habitats. We are focusing on two topics for increasing the ‘self-awareness’ of space habitats:

  1. Root cause analysis of faults in the Environmental Control and Life Support System (ECLSS) and the Electrical Power System (EPS). We will be investigating the integration of a digital twin model with root cause analysis methods to enable context-based diagnosis of faults.

  2. Uncertainty quantification in digital twins. For safety-critical systems, predictions of system health that account for uncertainties in a robust and efficient manner are deemed essential by NASA to safe-guard against failures. Our principal objective is to develop approaches for effectively quantifying and representing uncertainties in digital twins.

The long-term vision is to integrate these technologies within NASA’s space habitats to increase their autonomous capabilities and reduce the crew’s dependence on Earth-based mission control for operation and troubleshooting activities.

Laura Simandl
Laura Simandl
Building Science Engineer

Researching digital twin technologies, and uncertainty quantification strategies for use in aerospace systems.

Min Hwang
Min Hwang
PhD Student

Min is a PhD student working on fault diagnosis, more specifically root cause analysis, in space habitats as a part of the HOME (Habitats for Missions of Exploration) institute funded by NASA.