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NASA ground terminal communication equipment automated fault isolation expert systemsThe prototype expert systems are described that diagnose the Distribution and Switching System I and II (DSS1 and DSS2), Statistical Multiplexers (SM), and Multiplexer and Demultiplexer systems (MDM) at the NASA Ground Terminal (NGT). A system level fault isolation expert system monitors the activities of a selected data stream, verifies that the fault exists in the NGT and identifies the faulty equipment. Equipment level fault isolation expert systems are invoked to isolate the fault to a Line Replaceable Unit (LRU) level. Input and sometimes output data stream activities for the equipment are available. The system level fault isolation expert system compares the equipment input and output status for a data stream and performs loopback tests (if necessary) to isolate the faulty equipment. The equipment level fault isolation system utilizes the process of elimination and/or the maintenance personnel's fault isolation experience stored in its knowledge base. The DSS1, DSS2 and SM fault isolation systems, using the knowledge of the current equipment configuration and the equipment circuitry issues a set of test connections according to the predefined rules. The faulty component or board can be identified by the expert system by analyzing the test results. The MDM fault isolation system correlates the failure symptoms with the faulty component based on maintenance personnel experience. The faulty component can be determined by knowing the failure symptoms. The DSS1, DSS2, SM, and MDM equipment simulators are implemented in PASCAL. The DSS1 fault isolation expert system was converted to C language from VP-Expert and integrated into the NGT automation software for offline switch diagnoses. Potentially, the NGT fault isolation algorithms can be used for the DSS1, SM, amd MDM located at Goddard Space Flight Center (GSFC).
Document ID
19900012989
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Tang, Y. K.
(Ford Aerospace Corp. Seabrook, MD, United States)
Wetzel, C. R.
(Ford Aerospace Corp. Seabrook, MD, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1990
Publication Information
Publication: NASA, Goddard Space Flight Center, The 1990 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
90N22305
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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