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Implementation of Prognostic Methodologies to Cryogenic Propellant Loading Test-bed
Prognostics methodologies determine the health state of a system and predict the end of life and remaining useful life. This information enables operators to take maintenance... -
Blind Source Separation
Blind source separation in Simulink using STFT and inverse STFT (Signal processing blockset). -
Digital Geologic-GIS Map of Canaveral National Seashore, Florida (NPS, GRD,...
The Digital Geologic-GIS Map of Canaveral National Seashore, Florida is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data... -
DXC'11 Industrial Track Sample Data
The sample scenarios provided here are competition scenarios from Diagnostic Problems I and II of DXC'10. The zip file has a spreadsheet (and pdf) that lists the scenarios and... -
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO...
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING... -
Flight Data For Tail 684
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... -
CCMP Winds, Atlas FLK v1.1 Derived Surface Winds (Level 3.5a), Global, 0.25...
This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains a value-added 5-day mean ocean surface wind and pseudostress to approximate a... -
CCMP Winds, Atlas FLK v1.1 Derived Surface Winds (Level 3.5a), Global, 0.25...
This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains a value-added monthly mean ocean surface wind and pseudostress to approximate a... -
Entropy-based probabilistic fatigue damage prognosis and algorithmic...
In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-... -
Agenda
Draft Agenda, april 16, 2012 -
Towards A Model-based Prognostics Methodology for Electrolytic Capacitors: A...
A remaining useful life prediction methodology for elec- trolytic capacitors is presented. This methodology adopts a Kalman filter approach in conjunction with an empirical... -
ASIAS Symposium Presentations
Aviation Safety Information Analysis and Sharing (ASIAS) Symposiusm Presentations: July 27-28, 2009 -
Flight Data For Tail 653
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... -
Shorelines of the Florida panhandle (FLph) coastal region used in shoreline...
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral... -
images_HIRENASD
images for the HIRENASD webpage -
DXC'09 Industrial Track Sample Data
Sample data, including nominal and faulty scenarios, for Tier 1 and Tier 2 of the First International Diagnostic Competition. Three file formats are provided, tab-delimited .txt... -
Effects of Lightning Injection on Power-MOSFETs
Lightning induced damage is one of the major concerns in aircraft health monitoring. Such short-duration high voltages can cause significant damage to electronic devices. This... -
Efficient Keyword-Based Search for Top-K Cells in Text Cube
Previous studies on supporting free-form keyword queries over RDBMSs provide users with linked-structures (e.g.,a set of joined tuples) that are relevant to a given keyword... -
Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and...
The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern commercial aircraft... -
Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption
Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel consumption as a...