-
Federal
Integrated fatigue damage diagnosis and prognosis under uncertainties
National Aeronautics and Space Administration —
An integrated fatigue damage diagnosis and prognosis framework is proposed in this paper. The proposed methodology integrates a Lamb wave-based damage detection... -
Federal
Entropy-based probabilistic fatigue damage prognosis and algorithmic performance comparison
National Aeronautics and Space Administration —
In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an... -
Federal
DXC'10 Industrial Track Sample Data
National Aeronautics and Space Administration —
Sample data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are... -
Federal
Battery Health Management System for Electric UAVs
National Aeronautics and Space Administration —
In summary, this paper lays out a novel battery health management technique for application onboard an electric UAV. This technique is also applicable to other... -
Federal
Ensemble Data Mining Methods
National Aeronautics and Space Administration —
Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve... -
Federal
Anomaly Detection with Text Mining
National Aeronautics and Space Administration —
Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. The problem... -
Federal
Data Mining in Systems Health Management
National Aeronautics and Space Administration —
This chapter presents theoretical and practical aspects associated to the implementation of a combined model-based/data-driven approach for failure prognostics based... -
Federal
Proactive Management of Aviation System Safety Risk
National Aeronautics and Space Administration —
Aviation safety systems have undergone dramatic changes over the past fifty years. If you take a look at the early technology in this area, you'll see that there was... -
Federal
On Applying the Prognostic Performance Metrics
National Aeronautics and Space Administration —
Prognostics performance evaluation has gained significant attention in the past few years. *As prognostics technology matures and more sophisticated methods for... -
Federal
Comparative Analysis of Data-Driven Anomaly Detection Methods
National Aeronautics and Space Administration —
This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a... -
Federal
Pseudo-Label Generation for Multi-Label Text Classification
National Aeronautics and Space Administration —
With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume of text data,... -
Federal
Prognostics for Ground Support Systems: Case Study on Pneumatic Valves
National Aeronautics and Space Administration —
Prognostics technologies determine the health (or damage) state of a component or sub- system, and make end of life (EOL) and remaining useful life (RUL) predictions.... -
Federal
Effects of Lightning Injection on Power-MOSFETs
National Aeronautics and Space Administration —
Lightning induced damage is one of the major concerns in aircraft health monitoring. Such short-duration high voltages can cause significant damage to electronic... -
Federal
Pilot Study of a Plug Load Management System: Preparing for Sustainability Base
National Aeronautics and Space Administration —
NASA Ames Research Center’s Sustainability Base is a new 50,000 sq. ft. high-performance office building targeting a LEED Platinum rating. Plug loads are expected to... -
Federal
CIDU Agenda Book
National Aeronautics and Space Administration —
Abstract and Agenda book for CIDU 2010. -
Federal
Macroscopic Models of Clique Tree Growth for Bayesian Networks
National Aeronautics and Space Administration —
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to... -
Federal
Designing Data-Driven Battery Prognostic Approaches for Variable Loading Profiles: Some Lessons Learned
National Aeronautics and Space Administration —
Among various approaches for implementing prognostic algorithms data-driven algorithms are popular in the industry due to their intuitive nature and relatively fast... -
Federal
A Discussion on Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation Applied to Prognostics of Electronics Components
National Aeronautics and Space Administration —
This article presented a discussion on uncertainty representation and management for model-based prog- nostics methodologies based on the Bayesian tracking framework... -
Federal
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
National Aeronautics and Space Administration —
This paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)...