Robust operative diagnosis as problem solving in a hypothesis spaceThis paper describes an approach that formulates diagnosis of physical systems in operation as problem solving in a hypothesis space. Such a formulation increases robustness by: (1) incremental hypotheses construction via dynamic inputs, (2) reasoning at a higher level of abstraction to construct hypotheses, and (3) partitioning the space by grouping fault hypotheses according to the type of physical system representation and problem solving techniques used in their construction. It was implemented for a turbofan engine and hydraulic subsystem. Evaluation of the implementation on eight actual aircraft accident cases involving engine faults provided very promising results.
Document ID
19890057888
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Abbott, Kathy H. (NASA Langley Research Center Hampton, VA; Rutgers University, New Brunswick, NJ, United States)