Neuromorphic Machine Learning for Fault Management for Space Vehicle Applications

Natural Intelligence Systems (NIS) is proposing the research and development of a Fault Management (FM) machine learning (ML) system for use by NASA, government agencies, and commercial companies for spacecraft, transportation, and industrial applications. In this Phase 1 SBIR proposal NIS will develop and demonstrate the feasibility for using its Neuromorphic Machine Learning (NML) system to detect fault-indicative behavior while monitoring multiple inputs of a system. In Phase 1nbsp;NIS will developnbsp;anbsp;major capability of a Fault Management system, which is the ability to monitor and predict the health of a major subsystem using the system#39;s ML model. This is the foundation for a predictive FMnbsp;system that reports potential failures before they occur. NIS will use itsnbsp;AWS cloud Platform-as-a-Servicenbsp;NML System product as the development system.nbsp; nbsp;The S5.05 Fault Management Technologies topic is meant to drive the development of new FM technologies. By funding this SBIR, NASA will enable the development of a suite of capabilities that result from the computational and mathematical models of this NML system. The 3rd wave properties that result from this combination of the neuromorphic model and its algorithms, the data representation and the hardware architecture enables the system to learn patterns with minimal data during training. The system does not require huge datasets with all possible failure occurrences to be gathered for training. The system is able to continuously perform unsupervised learning while inferring, thereby enabling new patterns and anomalies to be identified and classified as unknowns. The classifications can be explained, and the explanations traced back to the input features and their ranges, thereby allowing unknown classes to be understood and labeled. The system is insensitive to noisy or missing data which is critical for FM systems as sensors degrade or fail in the space environment. These are FM technology weaknesses NASA seeks to overcome.nbsp;nbsp;