A function-centered framework for reasoning about system failure at multiple levels of abstraction

This paper presents the knowledge organization for a simulation subsystem that is a component of a comprehensive expert system for failure modes and effects analysis. Organizing the simulation subsystem’s knowledge base around a function-centered ontology produces an architecture that facilitates reasoning about an engineering design at multiple levels of abstraction and throughout the life-cycle of the design. Moreover, the resulting architecture provides the capability for incorporating computer-aided analysis and design tools early on into the conceptual design of an engineering system before a commitment is made to a specific technology to implement the system’s behavior. The result is an expert system simulation knowledge source that can be used to reason about the effects of system failures based on conceptual designs, i.e. designs in which commitments to an underlying technology to achieve the system’s function have not yet been made but computer-aided assistance for reasoning about the system’s potential failure modes and effects is useful.

[1]  Benjamin Kuipers,et al.  Qualitative and Quantitative Simulation: Bridging the Gap , 1997, Artif. Intell..

[2]  Roger C. Schank,et al.  SCRIPTS, PLANS, GOALS, AND UNDERSTANDING , 1988 .

[3]  Anne M. Keuneke,et al.  Device representation-the significance of functional knowledge , 1991, IEEE Expert.

[4]  Michael J. Pazzani,et al.  Creating a memory of causal relationships - an integration of empirical and explanation-based learning methods , 1990 .

[5]  Luc Steels,et al.  Diagnosis with a function-fault model , 1989, Appl. Artif. Intell..

[6]  Pamela K. Fink,et al.  Expert Systems and Diagnostic Expertise in the Mechanical and Electrical Domains , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Osamu Katai,et al.  A knowledge acquisition system for conceptual design based on functional and rational explanations of designed objects , 1991 .

[8]  Raymond T. Stefani,et al.  Design of feedback control systems , 1982 .

[9]  David J. Russomanno,et al.  KAT: a knowledge acquisition tool for acquiring functional knowledge based upon the No-causality-In-Function principle , 1999, SAC '99.

[10]  Ronald D. Bonnell,et al.  No Causality in Function: Building a Function-Centered Knowledge Base , 1995 .

[11]  David W. Franke,et al.  Deriving and using descriptions of purpose , 1991, IEEE Expert.

[12]  Allen Newell,et al.  A Model for Functional Reasoning in Design , 1971, IJCAI.

[13]  R. D. Sexton An alternative method for preparing FMECA's , 1991, Annual Reliability and Maintainability Symposium. 1991 Proceedings.

[14]  Ronald D. Bonnell,et al.  Viewing Computer-Aided Failure Modes and Effects Analysis from an Artificial Intelligence Perspective , 1994 .

[15]  Ashok K. Goel,et al.  Functional representation as design rationale , 1993, Computer.