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<p>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.</p>

R. K. Paasch and A. M. Agogino, "A Structural and Behavioral Reasoning System for Diagnosing Large-Scale Systems," in IEEE Intelligent Systems, vol. 8, no. , pp. 31-36, 1993.
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