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Neuro-expert system applications in power systems

Neuro-expert system applications in power systems

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In this chapter we outline a generic neuro-expert system (GENUES) architecture for hybrid reasoning. The architecture consists of five phases, namely, decomposition phase, control phase, decision phase, preprocessing phase, and postprocessing phase. The architecture is particularly applicable in time critical diagnostic/classification domains and data intensive domains in general. We describe the application of GENUES in a real time alarm processing system in a power system control centre.

Inspec keywords: neural nets; diagnostic reasoning; power system control; alarm systems; diagnostic expert systems

Other keywords: time critical diagnostic-classification domains; control phase; postprocessing phase; power system control centre; generic neuro-expert system architecture; data intensive domains; decomposition phase; hybrid reasoning; decision phase; alarm processing system; preprocessing phase; GENUES

Subjects: Power system control

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