| Issue |
E3S Web Conf.
Volume 19, 2017
International Conference Energy, Environment and Material Systems (EEMS 2017)
|
|
|---|---|---|
| Article Number | 01038 | |
| Number of page(s) | 6 | |
| Section | Energy | |
| DOI | https://doi.org/10.1051/e3sconf/20171901038 | |
| Published online | 23 October 2017 | |
Creating of structure of facts for the knowledge base of an expert system for wind power plant's equipment diagnosis
1 Technical University of Koszalin, Department of Mechanics, 15-17 Raclawicka St., 75-620 Koszalin, Poland
2 Vortex Energy Polska sp. z o.o., ul. Malczewskiego 26, 71-612 Szczecin, Poland
3 Technical University of Koszalin, Department of Electronics and Informatics, 2 Śniadeckich St., 75-453 Koszalin, Poland
⁎ Corresponding author: stanislaw.duer@tu.koszalin.pl
This article describes rules and conditions for making a structure (a set) of facts for an expert knowledge base of the intelligent system to diagnose Wind Power Plants’ equipment. Considering particular operational conditions of a technical object, that is a set of Wind Power Plant's equipment, this is a significant issue. A structural model of Wind Power Plant's equipment is developed. Based on that, a functional – diagnostic model of Wind Power Plant's equipment is elaborated. That model is a basis for determining primary elements of the object structure, as well as for interpreting a set of diagnostic signals and their reference signals. The key content of this paper is a description of rules for building of facts on the basis of developed analytical dependence. According to facts, their dependence is described by rules for transferring of a set of pieces of diagnostic information into a specific set of facts. The article consists of four chapters that concern particular issues on the subject.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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