Software

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file icon Displaying Properties of PDFsTooltip 09/01/2007 Hits: 12
The software allows scientists to visualize the uncertainty in the given spatial domain by creating maps of first, second, and third order statistics summarizing the distributions.
file icon Real-Time Data DisplayTooltip 09/01/2007 Hits: 16
Real-Time Data Display RT-Display is a MATLAB based data acquisition environment that is designed to use a variety of commercial off-the-shelf (COTS) hardware for digitizing analog signals to a standard data format usable by other post-acquisition data analysis tools. This software is capable of presenting the acquired data in real-time using a variety of signal processing algorithms.
The SSME Health Management Computer Integrated Rack Assembly (HMC-IRA) is a ground-based system developed to provide a “flight-like” platform for the development of SSME Advanced Health Management System components. The HMC-IRA units are designed to be integrated into the Stennis Test Facility and provide additional engine monitoring during SSME hot-fire testing.
A new software tool has been developed to allow detailed design of rolling element bearings rocket engine turbopumps and other applications. The software features a Graphical User Interface that greatly reduces the effort required to define analytical models for simulation and design bearing load support systems.
InvestigationOrganizer (IO) is a collaborative web-based system designed to support the conduct of mishap investigations. IO provides a common repository for a wide range of mishap related information, and allows investigators to make explicit, shared, and meaningful links between evidence, causal models, findings and recommendations. It integrates the functionality of a database, a common document repository, a semantic knowledge network, a rule-based inference engine, and causal modeling and visualization. Thus far, IO has been used to support four mishap investigations within NASA, ranging from a small property damage case to the loss of the Space Shuttle Columbia. This paper describes how the functionality of IO supports mishap investigations and the lessons learned from the experience of supporting two of the NASA mishap investigations: the Columbia Accident Investigation and the CONTOUR Loss Investigation.
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