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Federal
Classification 15 recent views
National Aeronautics and Space Administration —
A supervised learning task involves constructing a mapping from an input data space (normally described by several features) to an output space. A set of training... -
Federal
Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption
National Aeronautics and Space Administration —
Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel... -
Federal
A Survey of Artificial Intelligence for Prognostics
National Aeronautics and Space Administration —
Integrated Systems Health Management includes as key elements fault detection, fault diagnostics, and failure prognostics. Whereas fault detection and diagnostics... -
Federal
An Integrated Approach to Battery Health Monitoring using Bayesian Regression, Classification and State Estimation
National Aeronautics and Space Administration —
The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to... -
Federal
Fleet Level Anomaly Detection of Aviation Safety Data
National Aeronautics and Space Administration —
For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. The... -
Federal
Towards Prognostics for Electronics Components
National Aeronautics and Space Administration —
Electronics components have an increasingly critical role in avionics systems and in the development of future aircraft systems. Prognostics of such components is... -
Federal
Virtual Sensors: Efficiently Estimating Missing Spectra
National Aeronautics and Space Administration —
Various instruments are used to create images of the Earth and other objects in the universe in a diverse set of wavelength bands with the aim of understanding... -
Federal
Rotor health monitoring combining spin tests and data-driven anomaly detection methods
National Aeronautics and Space Administration —
Health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal upon a... -
Federal
A knowledge-based system approach for sensor fault modeling, detection and mitigation
National Aeronautics and Space Administration —
Sensors are vital components for control and advanced health management techniques. However, sensors continue to be considered the weak link in many engineering... -
Federal
Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft
National Aeronautics and Space Administration —
Electrical power systems play a critical role in spacecraft and aircraft, and they exhibit a rich variety of failure modes. This paper discusses electrical power... -
Federal
Improving Computational Efficiency of Prediction in Model-based Prognostics Using the Unscented Transform
National Aeronautics and Space Administration —
Model-based prognostics captures system knowledge in the form of physics-based models of components, and how they fail, in order to obtain accurate predictions of end... -
Federal
Towards a Framework for Evaluating and Comparing Diagnosis Algorithms
National Aeronautics and Space Administration —
Diagnostic inference involves the detection of anomalous system behavior and the identification of its cause, possibly down to a failed unit or to a parameter of a... -
Federal
SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS
National Aeronautics and Space Administration —
SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS VARUN CHANDOLA AND RANGA RAJU VATSAVAI Abstract. Biomass monitoring, specifically,... -
Federal
Prognostics Of Power Mosfets Under Thermal Stress Accelerated Aging Using Data-Driven And Model-Based Methodologies
National Aeronautics and Space Administration —
An approach for predicting remaining useful life of power MOSFETs (metal oxide field effect transistor) devices has been developed. Power MOSFETs are semiconductor... -
Federal
Algorithms for Speeding up Distance-Based Outlier Detection
National Aeronautics and Space Administration —
The problem of distance-based outlier detection is difficult to solve efficiently in very large datasets because of potential quadratic time complexity. We address... -
Federal
Exploring the Model Design Space for Battery Health Management
National Aeronautics and Space Administration —
Battery Health Management (BHM) is a core enabling technology for the success and widespread adoption of the emerging electric vehicles of today. Although battery... -
Federal
Comparison of Unsupervised Anomaly Detection Methods
National Aeronautics and Space Administration —
Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a...