A systems engineering approach to automated failure cause diagnosis in space power systemsAutomatic failure-cause diagnosis is a key element in autonomous operation of space power systems such as Space Station's. A rule-based diagnostic system has been developed for determining the cause of degraded performance. The knowledge required for such diagnosis is elicited from the system engineering process by using traditional failure analysis techniques. Symptoms, failures, causes, and detector information are represented with structured data; and diagnostic procedural knowledge is represented with rules. Detected symptoms instantiate failure modes and possible causes consistent with currently held beliefs about the likelihood of the cause. A diagnosis concludes with an explanation of the observed symptoms in terms of a chain of possible causes and subcauses.
Document ID
19880024643
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Dolce, James L. (NASA Lewis Research Center Cleveland, OH, United States)
Faymon, Karl A. (NASA Lewis Research Center Cleveland, OH, United States)