PVDaCS: a prototype knowledge-based expert system for certification of spacecraft data

  • Authors:
  • Cathleen Wharton;Patricia J. Shiroma;Karen E. Simmons

  • Affiliations:
  • Univ. of Colorado at Boulder, Boulder;Univ. of Colorado at Boulder, Boulder;Univ. of Colorado at Boulder, Boulder

  • Venue:
  • IEA/AIE '89 Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
  • Year:
  • 1989

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Abstract

On line data management techniques to certify spacecraft information are mandated by increasing telemetry rates [SiC87]. Knowledge-based expert systems offer the ability to certify data electronically without the need for time consuming human interaction. We have explored issues of automatic certification by designing a knowledge-based expert system to certify data from a scientific instrument, the Orbiter Ultraviolet Spectrometer (OUVS), on an operating NASA planetary spacecraft, Pioneer Venus (PV) [Ste80]. The resulting rule-based system, called PVDaCS (Pioneer Venus Data Certification System), is a functional prototype demonstrating the concepts of a larger system design. A key element of the system design is the representation of an expert's knowledge through the usage of well ordered sequences. PVDaCS produces a certification value derived from expert knowledge and an analysis of the instrument's operation. Results of system performance are presented.