Detecção e diagnóstico de falhas não-supervisionados baseados em estimativa de densidade recursiva e classificador fuzzy auto-evolutivo
In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for th...
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| フォーマット: | doctoralThesis |
| 言語: | por |
| 出版事項: |
Universidade Federal do Rio Grande do Norte
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| 主題: | |
| オンライン･アクセス: | https://repositorio.ufrn.br/jspui/handle/123456789/18577 |
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