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Rodney Martin: "Integrated Systems Health Management for Sustainable Habitats."

Abstract: Habitation systems provide a safe place for astronauts to live and work in space and on planetary surfaces. They enable crews to live and work safely in deep space, and include integrated life support systems, radiation protection, fire safety, and systems to reduce logistics and the need for resupply missions. Innovative health management technologies are needed in order to increase the safety and mission-effectiveness for future space habitats on other planets, asteroids, or lunar surfaces. For example, off-nominal or failure conditions occurring in safety-critical life support systems may need to be addressed quickly by the habitat crew without extensive technical support from Earth due to communication delays. If the crew in the habitat must manage, plan and operate much of the mission themselves, operations support must be migrated from Earth to the habitat. Enabling monitoring, tracking, and management capabilities on-board the habitat and related EVA platforms for a small crew to use will require significant automation and decision support software. Traditional caution and warning systems are typically triggered by out-of-bounds sensor values, but can be enhanced by including machine learning and data mining techniques. These methods aim to reveal latent, unknown conditions while still retaining and improving the ability to provide highly accurate alerts for known issues. A few of these techniques will briefly described, along with performance targets for known faults and failures. Specific system health management capabilities required for habitat system elements (environmental control and life support systems, etc.) may include relevant subsystems such as water recycling systems, photovoltaic systems, electrical power systems, and environmental monitoring systems. Sustainability Base, the agency's flagship LEED-platinum certified green building acts as a living laboratory for testing advanced information and sustainable technologies that provides an opportunity to test novel machine learning and controls capabilities. In this talk, key features of Sustainability Base that make it relevant to deep space habitat technology and its use of these kinds of subsystems previously listed will be presented. The fact that all such systems require less power to support human occupancy can be used as a focal point to serve as a testbed for deep space habitats that will need to operate within finite energy budgets.

Bio: Dr. Martin is a senior researcher in the Intelligent Systems Division and acts as the Deputy Data Sciences Group Lead. Over the course of his 12+ years at NASA Ames Research Center, he has worked in the application areas of robotics, data mining for aviation safety and space propulsion, among other areas. He acts as the research lead and facility support manager for Sustainability Base, the agency's flagship LEED-platinum certified green building that acts as a living laboratory for testing advanced information and sustainable technologies. Life support and other safety critical systems that will be essential for missions in support of future advanced and fully sustainable exploration habitats can directly benefit from these efforts. He received his M.S. and Ph.D. degrees in Mechanical Engineering from the University of California at Berkeley and B.S. in Mechanical Engineering from Carnegie-Mellon University. His expertise is in the area of optimal level-crossing prediction, control theory, and machine learning. He is the lead developer for a software tool to be used as the basis for performing comparative analyses for the prediction of adverse events in time-series data using various machine learning techniques. He has also developed tools for the design of alarm systems that employ concepts from optimal level-crossing prediction. He has contributed to over 30 publications in journals, conference papers, or book chapters. He has provided mentorship for over 15 students ranging from undergraduates to Ph.D. candidates, and has been active with graduate level student teams from various universities that contribute to various research activities that support NASA’s goals. He is a Senior Member of AIAA and IEEE, and an Associate Member of ASHRAE.

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