Title :
A structural and behavioral reasoning system for diagnosing large-scale systems
Author :
Paasch, Robert K. ; Agogino, Alice M.
Author_Institution :
Oregon State Univ., Corvallis, OR, USA
Abstract :
A real-time diagnosis system for the detector used in the heavy ion superconducting spectrometer (HISS) experiments is examined. The system is multileveled, combining a single monitoring level based on statistical methods with two model-based diagnostic levels, one operating on structural information and the other using both structural and behavioral models. The model-based approach mitigates the combinatorial complexity of rule-based systems, and the multilevel nature of the architecture mimics the way an expert would diagnose a large-scale system; it takes a broad, shallow look at all the system data and components, produces a limited set of subject components, and then looks at that limited set plus a reduced set of data to identify the most probable suspects.<>
Keywords :
diagnostic expert systems; inference mechanisms; nuclear engineering computing; particle detectors; physics computing; real-time systems; HISS; TFSA; behavioral models; behavioral reasoning system; combinatorial complexity; heavy ion superconducting spectrometer; large-scale system; limited set; model-based approach; model-based diagnostic levels; monitoring level; real-time diagnosis system; rule-based systems; statistical methods; structural information; subject components; system data; time-of-flight scintillation array; validation array; Large-scale systems; Monitoring; Nuclear physics; Photomultipliers; Pulsed power supplies; Radiation detectors; Real time systems; Solid scintillation detectors; Spectroscopy; Superconducting devices;
Journal_Title :
IEEE Expert
