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Automatic Detection of Electric Power Troubles (ADEPT)ADEPT is an expert system that integrates knowledge from three different suppliers to offer an advanced fault-detection system, and is designed for two modes of operation: real-time fault isolation and simulated modeling. Real time fault isolation of components is accomplished on a power system breadboard through the Fault Isolation Expert System (FIES II) interface with a rule system developed in-house. Faults are quickly detected and displayed and the rules and chain of reasoning optionally provided on a Laser printer. This system consists of a simulated Space Station power module using direct-current power supplies for Solar arrays on three power busses. For tests of the system's ability to locate faults inserted via switches, loads are configured by an INTEL microcomputer and the Symbolics artificial intelligence development system. As these loads are resistive in nature, Ohm's Law is used as the basis for rules by which faults are located. The three-bus system can correct faults automatically where there is a surplus of power available on any of the three busses. Techniques developed and used can be applied readily to other control systems requiring rapid intelligent decisions. Simulated modelling, used for theoretical studies, is implemented using a modified version of Kennedy Space Center's KATE (Knowledge-Based Automatic Test Equipment), FIES II windowing, and an ADEPT knowledge base. A load scheduler and a fault recovery system are currently under development to support both modes of operation.
Document ID
19890006196
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Wang, Caroline
(NASA Marshall Space Flight Center Huntsville, AL., United States)
Zeanah, Hugh
(NASA Marshall Space Flight Center Huntsville, AL., United States)
Anderson, Audie
(NASA Marshall Space Flight Center Huntsville, AL., United States)
Patrick, Clint
(NASA Marshall Space Flight Center Huntsville, AL., United States)
Brady, Mike
(Alabama Univ. Huntsville., United States)
Ford, Donnie
(Alabama Univ. Huntsville., United States)
Date Acquired
September 5, 2013
Publication Date
October 1, 1988
Publication Information
Publication: Fourth Conference on Artificial Intelligence for Space Applications
Subject Category
Computer Programming And Software
Accession Number
89N15567
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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