An architecture for automated fault diagnosis (of space power systems)

Abstract

w i n Marietta, under contract to NASA, Marshall Space Flight Center since 1985. is continuing the development of technologies and methodologies for use in the automation of power management and distribution.Automating the management and control of power distribution systems introduces issues and concerns for the flow of information and control. This is especially true when knowledge-bascd systems are used in diagnosing faults and trends within the system. Processing functions must obtain the appropriate data from the circuits and hardware which dishibute power. Providing the correct mix of hardware control and automated diagnosis wilh testing introduces system-wide architectural possibilities. In this paper an architecture containing a knowledge-based system which has been successfully used in power system management and fault diagnosis is presented. Architectural issues which effect overall system activities and perfotmance are examined. The knowledge-based system is discussed along with its associated automation implications, and interfaces throughout the system are presented. AI

An integrated model-based approach for real-time on-line diagnosis of complex systems

“…Nevertheless, some notable ones exist that are closely related to our work. One of these is a diagnostic tool called the Fault Recovery and Management Expert System (FRAMES) [3], [4], [26], [27]. FRAMES is a largely associative system implemented in LISP which performs FDIR on a spacecraft power distribution system.…”