Catherine A. Catino

University of Pennsylvania, Philadelphia, Pennsylvania, United States

Are you Catherine A. Catino?

Claim your profile

Publications (2)5.53 Total impact

  • Catherine A. Catino · Lyle H. Ungar ·
    [Show abstract] [Hide abstract]
    ABSTRACT: A prototype hazard identification system, qualitative hazard identifier (QHI), works by exhaustively positing possible faults, automatically building qualitative process models, simulating them, and checking for hazards. QHI matches a library of general faults such as leaks, broken filters, blocked pipes, and controller failures against the physical description of the plant to determine all specific instances of faults that can occur in the plant. Faults may perturb variables in the original design model or may require building a new model. Fault models are automatically generated using the qualitative process compiler and simulated using QSIM. Hazards including overpressure, overtemperature, controller saturation, and explosion are identified in the reactor section of a nitric acid plant using QHI.
    AIChE Journal 01/1995; 41(1):97 - 109. DOI:10.1002/aic.690410110 · 2.75 Impact Factor
  • C.A. Catino · S.D. Grantham · L.H. Ungar ·
    [Show abstract] [Hide abstract]
    ABSTRACT: A library of general physical and chemical phenomena such as heat transfer and reaction has been developed in the qualitative process theory (QPT) representation of Forbus and used to build qualitative models of chemical process units. The QPT descriptions specify the conditions under which the phenomena become active and the constraints they contribute to the model, thus allowing the computer to automatically build and alter process unit models. In order to realistically model chemical plants, we introduce a Lagrangian approach to modelling the behavior of plug flow vessels and we present a set of techniques to focus the model building and solution mechanisms on specific aspects of unit behavior, reducing model complexity. These model generation and solution methods form a basis for developing flexible and robust expert systems that perform fault diagnosis, HAZOP studies and plant design.
    Computers & Chemical Engineering 08/1991; 15(8-15):583-599. DOI:10.1016/0098-1354(91)80013-L · 2.78 Impact Factor

Publication Stats

51 Citations
5.53 Total Impact Points


  • 1995
    • University of Pennsylvania
      Philadelphia, Pennsylvania, United States