Fuzzy logic for fault diagnosis

James B. Comly; Piero P. Bonissone; Mark E. Dausch

doi:10.1117/12.25170

1 February 1991 Fuzzy logic for fault diagnosis

James B. Comly, Piero P. Bonissone, Mark E. Dausch

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25170
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

Advanced real-time digital controls for complex plants or processes will use a model (an " Observer" ) which predicts the values for sensor readings expected from the actual plant these vote as alternate " sensors" if the real ones fail. We are exploring further use of the Observer for real-time embedded diagnostics based on high speed fuzzy logic chips just becoming available. We have established a Fuzzy Inferencing Test Bed for fuzzy logic applications. It uses a set of development tools which allow applications to be built and tested against simulated systems and then ported directly to a high speed fuzzy logic chip. With the Fuzzy Inferencing Test we investigate very high speed fuzzy logic to: isolate faults using static information and early fault information that evolves rapidly in time validate and smooth readings from redundant sensors and smoothly select alternate control modes in intelligent controllers. This paper reports our experience with fuzzy logic in these kinds of applications.

Citation Download Citation

James B. Comly, Piero P. Bonissone, and Mark E. Dausch "Fuzzy logic for fault diagnosis", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25170

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