A neuro-expert system architecture with application to alarm processing in a power system control centre

R. Khosla, T. Dillon
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引用次数: 3

Abstract

A generic neuro-expert system architecture which can overcome difficulties faced by stand-alone expert systems and artificial neural networks is proposed. It can be applied in various problem domains, such as engineering and fault diagnosis, which require problem decomposition. It is recommended for use in real-time systems. The neuro-expert system architecture can be used at different levels of a power system hierarchy for alarm interpretation and fault diagnosis.<>
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一种神经专家系统架构及其在电力系统控制中心报警处理中的应用
提出了一种通用的神经专家系统架构,克服了独立专家系统和人工神经网络所面临的困难。它可以应用于各种需要问题分解的问题领域,如工程和故障诊断。建议在实时系统中使用。神经专家系统架构可用于电力系统层次结构的不同层次,用于告警解释和故障诊断
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Applying a time map manager in a real-time expert system for alarm filtering Fault diagnosis of power distribution lines by using discrimination tree Algorithmic mapping of neural networks with multi-activation product units onto SIMD machines Learning object models in visual semantic networks A neuro-expert system architecture with application to alarm processing in a power system control centre
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