A Tool To Support Failure Mode And Effects Analysis Based On Causal Modelling And Reasoning

W. E. Underwood; S. L. Laib

doi:10.1117/12.940629

11 May 1987 A Tool To Support Failure Mode And Effects Analysis Based On Causal Modelling And Reasoning

W. E. Underwood, S. L. Laib

Proceedings Volume 0786, Applications of Artificial Intelligence V; (1987) https://doi.org/10.1117/12.940629
Event: 1987 Technical Symposium Southeast on Optics, Electro-Optics, and Sensors, 1987, Orlando, FL, United States

Abstract

A prototype knowledge-based system has been developed that supports Failure Mode & Effects Analysis (FMEA). The knowledge base consists of causal models of components and a representation for coupling these components into assemblies and systems. The causal models are qualitative models. They allow reasoning as to whether variables are increasing, decreasing or steady. The analysis strategies used by the prototype allow it to determine the effects of failure modes on the function of the part, the failure effect on the assembly the part is contained in, and the effect on the subsystem containing the assembly.

Citation Download Citation

W. E. Underwood and S. L. Laib "A Tool To Support Failure Mode And Effects Analysis Based On Causal Modelling And Reasoning", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); https://doi.org/10.1117/12.940629

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