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Design of heavy lift cargo aircraft
This is the bird of the skies of the future. The heavy lift cargo aircraft which is currently being developed by me has twice the payload capacity of an Antonov A-225 aircraft... -
HIRENASD coarse unstructured
Unstructured HIRENASD mesh: - coarse size (5.7 million nodes, 14.4 million elements) - for node centered solvers - 01.06.2011 - caution: dimensions in mm -
Onboard Detection of Snow, Ice, Clouds, and Other Processes
The detection of clouds within a satellite image is essential for retrieving surface geophysical parameters from optical and thermal imagery. Even a small percentage of cloud... -
Flight Data For Tail 659
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... -
Experimental Data Collection and Modeling for Nominal and Fault Conditions...
Being relatively new to the field, electromechanical actuators in aerospace applications lack the knowledge base compared to ones accumulated for the other actuator types,... -
Evaluating Prognostics Performance for Algorithms Incorporating Uncertainty Estimates
Uncertainty Representation and Management (URM) are an integral part of the prognostic system development.1As capabilities of prediction algorithms evolve, research in... -
RSW Fully Tet Coarse Cell-Centered Mesh
This is the RSW fully tetrahedral unstructured mesh dataset for a cell-centered code, including the viscous wind tunnel wall. UG3 : Grid File Name = rsw_coarse_tetcc.b8.ugrid... -
NOAA Climate Data Record (CDR) of Normalized Difference Vegetation Index...
This dataset contains gridded daily Normalized Difference Vegetation Index (NDVI) derived from the NOAA Climate Data Record (CDR) of Advanced Very High Resolution Radiometer... -
Website updates
Updates to Website: (Please add new items at the top of this description with the date of the website change) May 9, 2012: Uploaded experimental data in matlab format for... -
A Modeling Framework for Prognostic Decision Making and its Application to...
The goal of prognostic decision making (PDM) is to utilize information on anticipated system health changes in selecting future actions. One of the key challenges in PDM is... -
DXC'10 Framework and Oracle
The DXC Framework is a collection of programs and APIs for running and evaluating diagnostic algorithms (DAs) under identical experimental conditions. It is complementary to... -
Model-Based Fault Detection and Diagnosis System for NASA Mars Subsurface...
The Drilling Automation for Mars Environment (DAME) project, led by NASA Ames Research Center, is aimed at developing a lightweight, low-power drill prototype that can be... -
Replication of Electric Aircraft Powertrain Dynamics and Inner-Loop Control...
Software-in-the-loop and hardware-in-the-loop testing of failure prognostics and decision making tools for aircraft systems will facilitate more comprehensive and cost-effective... -
HIRENASD coarse structured grid
blockstructured hexahedral grid, 6.7 mio elements, 24 degree minimum grid angle, CGNS format version 2.4, double precision Binary, Plot3D file Please contact Thorsten Hansen for... -
A Survey of Artificial Intelligence for Prognostics
Integrated Systems Health Management includes as key elements fault detection, fault diagnostics, and failure prognostics. Whereas fault detection and diagnostics have been the... -
Automated Discovery of Flight Track Anomalies
As new technologies are developed to handle the complexities of the Next Generation Air Transportation System (NextGen), it is increasingly important to address both current and... -
CIDU 2011 Call for Papers
not available -
NSF Research Spending and Results
Research Spending & Results gives the public, the scientific community, and Congress insight into federally funded research. Research Spending & Results provides... -
ACCEPT
Please find a detailed description here: ACCEPT -
Tracking Logistical Constraints Across Missions and Organizations: A...
execute plans and schedules that achieve stated goals while simultaneously minimizing the cost of logistics management and maximizing resource productivity. This goal is a...