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

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

Subjects: Power system control

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