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  • 1
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    Qualitative and temporal reasoning in engine behavior analysis (1987)
    In:  Other Sources
    Details
    Publication Date: 2019-01-25
    Description: Numerical simulation models, engine experts, and experimental data are used to generate qualitative and temporal representations of abnormal engine behavior. Engine parameters monitored during operation are used to generate qualitative and temporal representations of actual engine behavior. Similarities between the representations of failure scenarios and the actual engine behavior are used to diagnose fault conditions which have already occurred, or are about to occur; to increase the surveillance by the monitoring system of relevant engine parameters; and to predict likely future engine behavior.
    Keywords: CYBERNETICS
    Type: NASA. Marshall Space Flight Center, Third Conference on Artificial Intelligence for Space Applications, Part 1; p 121-122
    Format: text
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    NASA TECHNICAL REPORTS
  • 2
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    Classification of data patterns using an autoassociative neural network topology (1989)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: A diagnostic expert system based on neural networks is developed and applied to the real-time diagnosis of jet and rocket engines. The expert system methodologies are based on the analysis of patterns of behavior of physical mechanisms. In this approach, fault diagnosis is conceptualized as the mapping or association of patterns of sensor data to patterns representing fault conditions. The approach addresses deficiencies inherent in many feedforward neural network models and greatly reduces the number of networks necessary to identify the existence of a fault condition and estimate the duration and severity of the identified fault. The network topology used in the present implementation of the diagnostic system is described, as well as the training regimen used and the response of the system to inputs representing both previously observed and unknown fault scenarios. Noise effects on the integrity of the diagnosis are also evaluated.
    Keywords: CYBERNETICS
    Type: IEA/AIE-89; Jun 06, 1989 - Jun 09, 1989; Tullahoma, TN; United States
    Format: text
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    NASA TECHNICAL REPORTS
  • 3
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    Pattern-based fault diagnosis using neural networks (1988)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: An architecture for a real-time pattern-based diagnostic expert system capable of accommodating noisy, incomplete, and possibly erroneous input data is outlined. Results from prototype systems applied to jet and rocket engine fault diagnosis are presented. The ability of a neural network-based system to be trained via the presentation of behavioral patterns associated with fault conditions is demonstrated.
    Keywords: CYBERNETICS
    Type: International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems; Jun 01, 1988 - Jun 03, 1988; Tullahoma, TN; United States
    Format: text
    Location Call Number Expected Availability
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    NASA TECHNICAL REPORTS
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