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Assessment of Dynamic Bayesian Models for Gas Turbine Diagnostics, Part 1: Prior Probability Analysis

The reliability and cost-effectiveness of energy conversion in gas turbine systems are strongly dependent on an accurate diagnosis of possible process and sensor anomalies. Because data collected from a gas turbine system for diagnosis are inherently uncertain due to measurement noise and errors, pr...

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書誌詳細
主要な著者: Valentina Zaccaria, Amare Desalegn Fentaye, Konstantinos Kyprianidis
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2021-11-01
シリーズ:Machines
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オンライン・アクセス:https://www.mdpi.com/2075-1702/9/11/298
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