Proceedings Article10.1109/AERO.2006.1656044
Knowledge Mining Application in ISHM testbed
W.J. McDermott,Peter Robinson,D.P. Duncavage +2 more
- 24 Jul 2006
- pp 1-9
TL;DR: Software developed by NASA Ames researchers in the Advanced Knowledge Exploration Networks (AKEN) Lab that enables diagnostic systems and distributed information sources to be linked into an information grid is one such technology.
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Abstract: The scope of integrated system health management (ISHM) is the end-to-end autonomous management of subsystems, systems and systems of systems Among ISHM's components is management of data, information, and knowledge to detect and diagnose anomalies, and propose mitigation procedures for crew implementation Complex systems such as the International Space Station (ISS) generate a large amount of data, over 160,000 documents that are distributed across disparate systems But this data is fragmented and applications are unable to interoperate In addition, the lack of a seamless mechanism for ensuring use of latest, best information hinders development of much needed modeling, simulation and visualization systems that could increase the operating safety of a complex system To reduce development time for ISHM systems, builders of advanced diagnostic systems require rapid retrieval of precise information from various sources spread across multiple, distributed, heterogeneous databases To meet this challenge, a technological leap that goes beyond the bounds of today's understanding of documents is needed Software developed by NASA Ames researchers in the Advanced Knowledge Exploration Networks (AKEN) Lab that enables diagnostic systems and distributed information sources to be linked into an information grid is one such technology Funded through the Integrated Testbed Prototypes (ITP) Project, in 2005 AKEN installed Netmark's context based retrieval system at Johnson Space Center to incorporate this technology into advanced diagnostic systems For the ITP Project this technology was given the name Knowledge Mining Application (KMA) KMA was responsible for integrating documents from a range of information sources so that an advanced caution and warning diagnostic system could retrieve precise information on ISS events in question
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Citations
DAME: planetary-prototype drilling automation.
TL;DR: Results from the Drilling Automation for Mars Exploration (DAME) project are described, including those of the summer 2006 tests from an Arctic analog site, which included adaptively controlled drilling operations and the downhole diagnosis of drilling faults.
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DAME: Planetary-Prototype Drilling Automation
TL;DR: The Drilling Automation for Mars Exploration (DAME) project as mentioned in this paper developed and tested drill automation software and hardware under stressful operating conditions during its Arctic field testing campaigns at a Mars analog site.
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References
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TL;DR: Knowledge Management as mentioned in this paper is an excellent handbook for business executives, especially chief information officers, IT directors, and chief knowledge officers, covering the principles, technologies, capture systems, sharing systems, and application systems of knowledge management.
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Architecture and Implementation of an XQuery-based Information Integration Platform.
TL;DR: The Enosys XML Integration Platform (EXIP), a commercial XQuery-based data integration software platform that provides a queryable integrated view of such information, is described.
Applying Model-Based Reasoning to the FDIR of the Command and Data Handling Subsystem of the International Space Station
Peter I. Robinson,Mark Shirley,Daryl P. Fletcher,Richard Alena,Dan Duncavage,Charles Lee +5 more
- 01 Jan 2003
TL;DR: An Advanced Diagnostic System (ADS) to augment the C&W system with decision support tools to aid in root cause analysis as well as resolve differing human and machine C&DH state estimates will improve the speed and accuracy of flight controllers by reducing the uncertainty in C& DH state estimation.
Project Management Plan
Eur Ing Albert Lester
- 01 Jan 2014
TL;DR: In this article, the authors present a summary of all the essential requirements, methods, and procedures that are needed to deliver the benefits of the project, including Why, the What, the When, the Who, the Where, and the How.
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