G.S. Semmel, S.R. Davis, K.W. Leucht, D.A.Rowe, K.E. Smith, and L. Bölöni

NESTA: NASA Engineering Shuttle Telemetry Agent


Cite as:

G.S. Semmel, S.R. Davis, K.W. Leucht, D.A.Rowe, K.E. Smith, and L. Bölöni. NESTA: NASA Engineering Shuttle Telemetry Agent. In Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, pp. 1491–1498, July 2005. IAAI-05 Deployed Application Award

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Abstract:

The Spaceport Processing Systems Branch at NASA Kennedy Space Center has developed and deployed an agent based tool to monitor the Space Shuttle's ground processing telemetry stream. The application, the NASA Engineering Shuttle Telemetry Agent, increases situational awareness for system and hardware engineers during ground processing of the Shuttle's subsystems. The agent provides autonomous monitoring of the telemetry stream and automatically alerts system engineers when predefined criteria have been met. Efficiency and safety are improved through increased automation. Sandia National Labs' Java Expert System Shell is employed as the rule engine. The shell's predicate logic lends itself well to capturing the heuristics and specifying the engineering rules of this spaceport domain. The declarative paradigm of the rule-based agent yields a highly modular and scalable design spanning multiple subsystems of the Shuttle. Several hundred monitoring rules have been written thus far with corresponding notifications sent to Shuttle engineers. This paper discusses the rule-based telemetry agent used for Space Shuttle ground processing and explains the problem domain, development of the agent software, benefits of AI technology, and deployment and sustaining engineering of the product.

BibTeX:

@inproceedings{Semmel-2005-IAAI,
   author = "G.S. Semmel and S.R. Davis and K.W. Leucht and D.A.
Rowe and K.E. Smith and L. B{\"o}l{\"o}ni",
   title = "{NESTA}: {NASA} Engineering Shuttle Telemetry Agent",
   month = "July",
   year = 2005,
   booktitle = "Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference",
   note = "<b>IAAI-05 Deployed Application Award</b>",
   pages = {1491-1498},
   abstract = {
   The Spaceport Processing Systems Branch at NASA Kennedy Space Center
   has developed and deployed an agent based tool to monitor the Space
   Shuttle's ground processing telemetry stream. The application, the
   NASA Engineering Shuttle Telemetry Agent, increases situational
   awareness for system and hardware engineers during ground processing
   of the Shuttle's subsystems. The agent provides autonomous monitoring
   of the telemetry stream and automatically alerts system engineers
   when predefined criteria have been met. Efficiency and safety are
   improved through increased automation.
   Sandia National Labs' Java Expert System Shell is employed as the
   rule engine. The shell's predicate logic lends itself well to
   capturing the heuristics and specifying the engineering rules of this
   spaceport domain. The declarative paradigm of the rule-based agent
   yields a highly modular and scalable design spanning multiple
   subsystems of the Shuttle. Several hundred monitoring rules have been
   written thus far with corresponding notifications sent to Shuttle
   engineers. This paper discusses the rule-based telemetry agent used
   for Space Shuttle ground processing and explains the problem domain,
   development of the agent software, benefits of AI technology, and
   deployment and sustaining engineering of the product.
  },
  mynote = "Acceptance Rate: 18\%",
}

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