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| Advanced Methods for Model-based Diagnosis and Recovery
Livingstone 3 is a model-based diagnostic engine capable of isolating discrete system faults and parameter degradations and then synthesizing recovery actions that will allow the system to achieve mission goals.
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| Advanced Diagnostic Systems for ISS
Real-time subsystem monitoring, fault detection, advanced diagnosis and adaptive recovery for International Space Station (ISS) flight systems.
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| Automatic Program Synthesis for Data Monitors and Classifiers
The AutoBayes and AutoFilter program synthesis systems can automatically generate efficient, certified code for data monitors from compact specifications. The tools enable advanced on-board statistical data analysis algorithms and highly flexible ISHM.
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| Autonomous Space Nuclear Reactor Control for Jupiter Icy Moons Orbiter
Reactor autonomous control will enable spacecraft to manage degradations or failures on its own until the next scheduled communication between the spacecraft and Earth.
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| Aviation Performance Measuring System (APMS)
Knowledge-based Computerized Assistance for proactive assessment of safety risk and system analysis.
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| Critical State Detection for Safe and Affordable Mission Design
Dynamical modeling provides critical state detection capability along with much needed dimensionality reduction near the critical region. Reinforcement learning is then used in the reduced space to control the system away from the criticality.
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| Data Mining
The Ames Data Mining and Complex Adaptive Systems Group supports ISHM in three ways: by using anomaly detection algorithms for fault detection, by using data mining for prognostics, and by using distributed adaptive control for self-maintenance and recovery.
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| Design Principles for Robust ISHM
Designing ISHM modules concurrently with the systems they will be used for will result in significant increases in system reliability and robustness. We can leverage formal methodologies for conceptual design and risk analysis to seamlessly incorporate ISHM design into system design work practices.
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| Diagnosis of Complex Dynamical Systems
Many systems relevant to the Exploration Vision, for example planetary rovers, are unsuited for traditional approaches to diagnosis. Here we describe advanced techniques that extend diagnosis capabilities to these systems.
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| Healthwatch-2
A general purpose software research tool designed to facilitate the development and testing of power train health monitoring algorithms.
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| Human Factors of Integrated Systems Health Management
Developing an autonomous operational concept for crewed exploration vehicles.
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| Intelligent Spacecraft Interface Systems (ISIS) Lab
The Intelligent Spacecraft Interface Systems (ISIS) Lab is a ground test bed which can be used to establish the readiness of new system architecture concepts.
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| ISStrider: Model-based Mission Operations
The ISStrider project is developing model-based reasoning, visualization and document retrieval capabilities for mission and spacecraft operations.
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| Livingstone on Earth Observing One (EO-1)
Software that can automatically detect errors in a space vehicle’s systems and subsystems before complex problems become critical could significantly reduce mission operations costs, boost mission efficiency and could one day save a rover, a spacecraft or even a human life.
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| Livingstone 2 Model-based Diagnosis & Recovery Engine
A complex physical system, such as a spacecraft, can be made increasingly autonomous by making it self-aware and capable of detecting, and responding to, off-nominal conditions. Livingstone comprises a language for specifying a model of the system and a set of algorithms which use the models to track the system's state.
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| Mitigation of Potential Catastrophic Failures
Methods are being developed which identify system stability thresholds to permit the design of intelligent controllers that only operate when a system moves along a trajectory towards a catastrophic state. These controllers enable systems to be used safely in a much wider operating regime than conventional control systems.
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| Multi-level Immune Learning Detection (MILD)
MILD is an anomaly detection tool for spacecraft subsystems that is based on the negative selection algorithm inspired by the human immune system.
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| Prognostic Tools for Complex Dynamical Systems
Modeling systems as networks of coupled nonlinear dynamical systems allows the structure of the coupling between the systems to be used as a diagnostic tool. The structure reveals cause-and-effect relations, and changes in these relations may predict transitions to undesirable modes of operation.
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| Self-Reconfigurable Digital Circuits
Digital circuits operating in highly radiative environments are frequently subject to transient or permanent faults. We propose real-time techniques for automatically reconfiguring a damaged circuit implemented on Field-Programmable Gate Arrays (FPGAs) during mission time.
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| State Estimation
Control of spacecraft and other systems requires reliable real-time estimates of system state. Unfortunately, the complete state is not always observable. State Estimation takes all the telemetry seen so far and uses it to determine the underlying behavior of the system at any point in time. It includes fault detection and isolation and continuous system parameter estimation.
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| Structural Vibration Signature Modeling
This NASA developed software incorporates first principles modeling capabilities to simulate normal and damage structural vibration signatures, especially in rotating systems. It represents an indispensable test bed that will support a broad spectrum of structural health diagnosis and prognosis capabilities in the Exploration Vision.
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| Systems Analysis and Technology Assessment
Ames has developed a set of engineering-based analysis and design tools for conceptual-level exploration vehicle definition studies and initial technology assessment and evaluation. These tools are integrated into an interactive and collaborative design environment for quick turn-around vehicle trade studies and technology impact assessment.
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