Implementation of Diagnostic Model for Integrated System Health Monitoring of a Habitat Instrumentation System

This project seeks to develop a method by which to optimize instrumentation systems against multiple variables.  The project leverages a diagnostic model developed under the OCT GCD Autonomous Systems Project (TEAMS) to optimize the Deep Space Habitat sensor and instrumentation system. The results will be validated through hardware-in-the-loop testing.

The approach to developing this tool are the following: to use SysML to model the instrumentation system, to develop a method to seamlessly transfer data from SysML to TEAMS to perform testability/observability analysis, to develop a multi-variate optimization technique to examine testability, observability, mass, and cost optimization, to transfer data from SysML to the optimization tool, and to perform the optimization.

Anticipated benefits to NASA missions would include integration with AES L2 Habitat Ground Test Unit (MPLM/Cygnus).  Future work would expand upon the variables considered, investigate larger and more complex instrumentation systems, long-term analysis, implementation of control logic, and integration with Advanced Caution and Warning to provide an integrated system.