Intelligent Agents for Improved Ground-Test Operations Project

Description

The proposal outlines a research program for developing a novel soft-computing technology composed of an Artificial Immune System and Bayesian Belief Networks for monitoring, knowledge and information processing, and decision support infrastructure for testing of rocket engines of future spacecrafts. An engine failure during test operations may cause catastrophic results for the test article, supporting infrastructure, and potentially to supporting resources. The ability to effectively monitor health and status of a testbed and test article during a test firing and to take corrective measures for peak performance and improving reliable operations is of utmost importance. Using an existing SR-30 Jet Engine testbed utilizing artificial intelligence control techniques, novel algorithms are being developed by The University of Alabama that can function under faulty sensor conditions, can work effectively with thousands of sensors at high data rates, are self-checking, and are self-correcting can be of further support. The proposed effort builds on an existing joint MSFC/University of Alabama project where NASA's NSSTC is only funding graduate student research. This proposal will further enhance technology research for realization and synthesis of needed advanced algorithms in larger scale test platforms for propulsion health management, thereby furthering educational research addressing NASA's education missions.

General Information

• This data is described at

  http://catalog.data.gov/dataset/intelligent-agents-for-improved-ground-test-operations-project Do you think this data is incorrect? Let us know

• This data is published by

  National Aeronautics and Space Administration Do you think this data is incorrect? Let us know

Legal Information

• The rights statement is at

  http://catalog.data.gov/dataset/intelligent-agents-for-improved-ground-test-operations-project Do you think this data is incorrect? Let us know

• Outside the US, this data is available under

  Creative Commons CCZero Do you think this data is incorrect? Let us know

• There are

  yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know

• The content is available under

  Creative Commons CCZero Do you think this data is incorrect? Let us know

• The rights statement includes data about

  its data licence Do you think this data is incorrect? Let us know

• This data contains

  no data about individuals Do you think this data is incorrect? Let us know

Practical Information

• The data appears in this collection

  http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know

• The accuracy or relevance of this data will

  go out of date but it is timestamped Do you think this data is incorrect? Let us know

• The data is

  backed up offsite Do you think this data is incorrect? Let us know

Technical Information

• This data is published at

  http://techport.nasa.gov/xml-api/10078 Do you think this data is incorrect? Let us know

• This data is

  machine-readable Do you think this data is incorrect? Let us know

• The format of this data is

  a standard open format Do you think this data is incorrect? Let us know

Social Information

• The documentation includes machine-readable data for

  title Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  description Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  identifier Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  landing page Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  publisher Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  keyword(s) or tag(s) Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  distribution(s) Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  release date Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  modification date Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  temporal coverage Do you think this data is incorrect? Let us know

• The documentation includes machine-readable data for

  language Do you think this data is incorrect? Let us know

• The documentation about each distribution includes machine-readable data for

  release date Do you think this data is incorrect? Let us know

• The documentation about each distribution includes machine-readable data for

  a URL to access the data Do you think this data is incorrect? Let us know

• The documentation about each distribution includes machine-readable data for

  a URL to download the dataset Do you think this data is incorrect? Let us know

• The documentation about each distribution includes machine-readable data for

  type of download media Do you think this data is incorrect? Let us know

• Find out how to contact someone about this data at

  http://catalog.data.gov/dataset/intelligent-agents-for-improved-ground-test-operations-project Do you think this data is incorrect? Let us know

• Find out how to suggest improvements to publication at

  http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/intelligent-agents-for-improved-ground-test-operations-project Do you think this data is incorrect? Let us know