Equipment State Assessment System Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)
The paper is dedicated to analyze the modern expert systems to assess the technical condition of power stations and substations high-voltage equipment. The main problems of modern expert systems and their possible solutions are determined. As the structure and their basic construction principles are...
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| Veröffentlicht in: | Applied mechanics and materials 2015-09, Vol.792, p.243-247 |
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| creator | Bliznyuk, Dmitry Aminev, Artem Khalyasmaa, Alexandra |
| description | The paper is dedicated to analyze the modern expert systems to assess the technical condition of power stations and substations high-voltage equipment. The main problems of modern expert systems and their possible solutions are determined. As the structure and their basic construction principles are considered. Also this paper proposes an algorithm for the expert system model using fuzzy inference on the basis of technical diagnostics and tests. As a case study of assessment of power transformers state based on dissolved gas analysis in the oil is presented. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.792.243 |
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| ispartof | Applied mechanics and materials, 2015-09, Vol.792, p.243-247 |
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| subjects | Adaptive systems Artificial neural networks Case studies Expert systems Fuzzy logic Fuzzy systems Gas analysis Inference Natural gas Power plants Substations |
| title | Equipment State Assessment System Based on Adaptive Neuro-Fuzzy Inference System (ANFIS) |
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