Description: NASA Ames Research Center (ARC)'s innovative autonomous operations technologies (AOT) for ground and launch systems require minimized or even eliminated human iteration/intervention, and presence due to hazardous operational environments. Towards this goal, American GNC Corporation (AGNC) and The University of Texas at Arlington (UTA) are proposing the "Semiautonomous Anomaly Monitoring and Early Detection (SAMY)" System to advance NASA's operations and maintenance (O&M) infrastructure while increasing ground system availability to support mission operations. The SAMY system is to provide innovative Prognostics and Health Management (PHM) technology for planetary or lunar surface-based infrastructure that are related to the preparation of launch vehicles and payloads for flight. SAMY can also improve NASA's Stennis Space Center (SSC) test stand infrastructure by taking into account earth applications. The system builds upon: (i) automated anomaly detection, analysis, and characterization (ADAC) to identify incipient fault conditions and benign new operational conditions; (ii) generalized prognostic methodology based on optimized Multilayer Perceptron (MLP) discriminant; and (iii) suite of cutting edge algorithms operating collaboratively, including semiautomated incremental learning, selected deep learning paradigms, and inference methods for both Fault Detection and Identification (FDI) and guidance in maintenance operations. Phase II design constraints include: (a) developing a sound framework that can handle with concept drift and structured data (e.g., multi-source, distributed, and heterogenous); (b) automated new knowledge assimilation once that change is detected and found a new condition; (c) developing a generalized prognostics scheme to provide Remaining Useful Life estimations; (d) blending strengths of advanced machine learning paradigms and achieving collaborative operation while for Prognostics and Health Management system; and (e) thorough V&V

Benefits: The primary target is NASA ground and launch systems for planetary and lunar surface infrastructure. The applications are numerous since SAMY is a PHM software product that supports AOT and O&M infrastructure, being examples: Advanced Ground Systems Maintenance (AGSM) and Integrated Health Management (IHM) Architecture at the Kennedy Space Center; NASA Ames autonomous systems, space habitats, and spacecrafts; and NASA Stennis Space Center (SSC) space launch systems (SLS) such as vacuum jacketed pipelines, and liquid nitrogen high-pressure pump.

SAMY focus to anomaly detection, prognostics, & FDI based on cognitive systems ensemble, puts it apart from current commercial products. Potential markets include Condition Based Maintenance, Smart Sensors, Internet of Things, & Autonomous Systems. Specific applications are avionic systems, manufacturing, structural health monitoring, fluid distribution systems, chemical processing plants.