DAWN (Design Assistant Workstation) for advanced physical-chemical life support systems

Mary R. Rudokas; Elizabeth R. Cantwell; Peter I. Robinson; Timothy W. Shenk

doi:10.4271/891481

DAWN (Design Assistant Workstation) for advanced physical-chemical life support systems

Mary R. Rudokas, Elizabeth R. Cantwell, Peter I. Robinson, Timothy W. Shenk

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper reports the results of a project supported by the National Aeronautics and Space Administration, Office of Aeronautics and Space Technology (NASA-OAST) under the Advanced Life Support Development Program. It is an initial attempt to integrate artificial intelligence techniques (via expert systems) with conventional quantitative modeling tools for advanced physical-chemical life support systems. The addition of artificial intelligence techniques will assist the designer in the definition and simulation of loosely/well-defined life support processes/problems as well as assist in the capture of design knowledge, both quantitative and qualitative. Expert system and conventional modeling tools are integrated to provide a design workstation that assists the engineer/scientist in creating, evaluating, documenting and optimizing physical-chemical life support systems for short-term and extended duration missions.

Original language	English (US)
Journal	SAE Technical Papers
DOIs	https://doi.org/10.4271/891481
State	Published - 1989
Externally published	Yes
Event	19th Intersociety Conference on Environmental Systems - San Diego, CA, United States Duration: Jul 24 1989 → Jul 26 1989

ASJC Scopus subject areas

Automotive Engineering
Safety, Risk, Reliability and Quality
Pollution
Industrial and Manufacturing Engineering

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10.4271/891481

Cite this

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title = "DAWN (Design Assistant Workstation) for advanced physical-chemical life support systems",

abstract = "This paper reports the results of a project supported by the National Aeronautics and Space Administration, Office of Aeronautics and Space Technology (NASA-OAST) under the Advanced Life Support Development Program. It is an initial attempt to integrate artificial intelligence techniques (via expert systems) with conventional quantitative modeling tools for advanced physical-chemical life support systems. The addition of artificial intelligence techniques will assist the designer in the definition and simulation of loosely/well-defined life support processes/problems as well as assist in the capture of design knowledge, both quantitative and qualitative. Expert system and conventional modeling tools are integrated to provide a design workstation that assists the engineer/scientist in creating, evaluating, documenting and optimizing physical-chemical life support systems for short-term and extended duration missions.",

author = "Rudokas, {Mary R.} and Cantwell, {Elizabeth R.} and Robinson, {Peter I.} and Shenk, {Timothy W.}",

year = "1989",

doi = "10.4271/891481",

language = "English (US)",

journal = "SAE Technical Papers",

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publisher = "SAE International",

note = "19th Intersociety Conference on Environmental Systems ; Conference date: 24-07-1989 Through 26-07-1989",

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AU - Rudokas, Mary R.

AU - Cantwell, Elizabeth R.

AU - Robinson, Peter I.

AU - Shenk, Timothy W.

PY - 1989

Y1 - 1989

N2 - This paper reports the results of a project supported by the National Aeronautics and Space Administration, Office of Aeronautics and Space Technology (NASA-OAST) under the Advanced Life Support Development Program. It is an initial attempt to integrate artificial intelligence techniques (via expert systems) with conventional quantitative modeling tools for advanced physical-chemical life support systems. The addition of artificial intelligence techniques will assist the designer in the definition and simulation of loosely/well-defined life support processes/problems as well as assist in the capture of design knowledge, both quantitative and qualitative. Expert system and conventional modeling tools are integrated to provide a design workstation that assists the engineer/scientist in creating, evaluating, documenting and optimizing physical-chemical life support systems for short-term and extended duration missions.

AB - This paper reports the results of a project supported by the National Aeronautics and Space Administration, Office of Aeronautics and Space Technology (NASA-OAST) under the Advanced Life Support Development Program. It is an initial attempt to integrate artificial intelligence techniques (via expert systems) with conventional quantitative modeling tools for advanced physical-chemical life support systems. The addition of artificial intelligence techniques will assist the designer in the definition and simulation of loosely/well-defined life support processes/problems as well as assist in the capture of design knowledge, both quantitative and qualitative. Expert system and conventional modeling tools are integrated to provide a design workstation that assists the engineer/scientist in creating, evaluating, documenting and optimizing physical-chemical life support systems for short-term and extended duration missions.

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DO - 10.4271/891481

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AN - SCOPUS:85072440585

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T2 - 19th Intersociety Conference on Environmental Systems

Y2 - 24 July 1989 through 26 July 1989

ER -

DAWN (Design Assistant Workstation) for advanced physical-chemical life support systems

Abstract

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