Expert System Hardware for Fault Detection

作者:Miguel Rodríguez Gómez, Joseba Ezquerra Ventosa, Gerardo Aranguren Aramendía

摘要

This paper focuses upon the development of three new electronic architectures of inference engines as a part of a hardware expert system applied to very high-speed faults detection in industrial processes. The architecture of this expert system consists of an inference engine (a dedicated processor that is necessary due to the high-speed requirements and the repetitiveness of the operation), which uses a pattern-directed inference system; a fact base, which stores the status of the signals at each moment, and a static knowledge base, which contains the inference rules compiled from expert knowledge. A circuit for analyzing time is also presented. This allows time to be taken as another variable of the process and carries out a redundancy analysis simultaneously with the fault detection module.

论文关键词:knowledge-based expert systems, knowledge acquisition, pattern recognition, real-time systems, monitoring and diagnosis, distributed and parallel processing

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论文官网地址:https://doi.org/10.1023/A:1008367820687