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Anomaly Detection from ASRS Databases of Textual Reports
Our primary goal is to automatically analyze textual reports from the Aviation Safety Reporting System (ASRS) database to detect/discover the anomaly categories reported by the... -
Fatigue Damage Prognosis in FRP Composites by Combining Multi-Scale...
In this work, a framework for the estimation of the fatigue damage propagation in CFRP composites is proposed. Macro-scale phenomena such as stiffness and strength degradation... -
IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING
IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING ISAAC PERSING AND VINCENT NG Abstract. Active learning has been successfully applied to many natural language processing... -
HIRENASD Unstructured Grids - VGRID software
These grids were constructed using VGRID software from NASA Langley. The grids designed for node based (labeled 'nc') and cell-centered solvers are supplied. Grids with mixed... -
CIDU 2011 Proceedings
not available -
Tackling V&V for Prognostics
We believe our approach to gathering and organizing prognostics V&V information from relevant literature, and then applying it to our specific prognostics application,... -
TTEthernet SAL Models
Models developed during Phase I of the VVFCS TA2 Program, NNL10AB32T -
Mixture Density Mercer Kernels
We present a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density... -
Scalable, Asynchronous, Distributed Eigen-Monitoring of Astronomy Data Streams
In this paper, we develop a distributed algorithm for monitoring the principal components (PCs) for next generation of astronomy petascale data pipelines such as the Large... -
Optimal Alarm Systems
An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms for a fixed detection probability. It currently use... -
Embedding Temporal Constraints for Coordinated Execution in Habitat Automation
Future NASA plans call for long-duration deep space missions with human crews. Because of light-time delay and other considerations, increased autonomy will be needed. This will... -
Trajectory Clustering with Applications to Airspace Monitoring
This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned... -
References:HIRENASD
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2010_09_12 Lab
Ballscrew jam fault datasets (diagnostic and prognostic) -
Anomaly Detection and Diagnosis Algorithms for Discrete Symbols
We present a set of novel algorithms which we call sequenceMiner that detect and characterize anomalies in large sets of high-dimensional symbol sequences that arise from... -
Optimizing Battery Life for Electric UAVs using a Bayesian Framework
In summary, this paper lays a simple flight plan optimization strategy based on the particle filtering framework described in [5]. This is meant as a first step in formalizing... -
Flight Data For Tail 681
The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: -sensor... -
An Overview of Selected Prognostic Technologies with Reference to an...
This chapter reviewed generic prognosis algorithmic approaches and introduced some of the basics associated with probabilistic predictions and a required architecture for... -
ASIAS Symposium Presentations
Aviation Safety Information Analysis and Sharing (ASIAS) Symposiusm Presentations: July 27-28, 2009 -
Integrating Systems Health Management with Adaptive Controls for a...
Increasing turbine up-time and reducing maintenance costs are key technology drivers for wind turbine operators. Components within wind turbines are subject to considerable...