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Expert System for Predictive Diagnosis (1) Principles and Knowledge Base

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Soft Computing Applications (SOFA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 633))

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Abstract

Implementing an expert system is a work that involves a lot of theoretical knowledge and a large amount of expertise. A particular technical application is the predictive diagnosis of underground functioning power cables. Particular are the cables modeling, but also the manner to estimate the problem of life estimation in given conditions. The work achieves the underground cable modeling by putting together determinable information. The template of knowledge piece is next built and the appropriate inference algorithm will be defined. Finally, a functional scheme of dedicated expert system is given. The conclusions emphasize that the standard structure of expert system is retrieved and significant is the project associated to knowledge.

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Correspondence to Dorin Isoc .

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Isoc, D. (2018). Expert System for Predictive Diagnosis (1) Principles and Knowledge Base. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-319-62521-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-62521-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62520-1

  • Online ISBN: 978-3-319-62521-8

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