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Proceedings Paper

Applying an integrated neuro-expert system model in a real-time alarm processing system
Author(s): Rajiv Khosla; Tharam S. Dillon
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Paper Abstract

In this paper we propose an integrated model which is derived from the combination of a generic neuro-expert system model, an object model, and unix operating system process (UOSP) model. This integrated model reflects the strengths of both artificial neural nets (ANNs) and expert systems (ESs). A formalism of ES object, ANN object, UOSP object, and problem domain object is used for developing a set of generic data structures and methods. These generic data structures and methods help us to build heterogeneous ES-ANN objects with uniform communication interface. The integrated model is applied in a real-time alarm processing system for a non-trivial terminal power station. It is shown how features like hierarchical/distributed ES/ANN objects, inter process communication, and fast concurrent execution help to cope with real-time system constraints like, continuity, data variability, and fast response time.

Paper Details

Date Published: 23 March 1993
PDF: 12 pages
Proc. SPIE 1963, Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry, (23 March 1993); doi: 10.1117/12.141756
Show Author Affiliations
Rajiv Khosla, La Trobe Univ. (Australia)
Tharam S. Dillon, La Trobe Univ. (Australia)


Published in SPIE Proceedings Vol. 1963:
Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry
Usama M. Fayyad; Ramasamy Uthurusamy, Editor(s)

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