Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6761954 | Nuclear Engineering and Design | 2014 | 13 Pages |
Abstract
Experimental data include non-boiling background noise data collected from Phenix power plant (France) and provided by the CEA (Commissariat à l'Energie Atomique et aux énergies alternatives, France) and boiling condition data generated in laboratory. High boiling detection rates as well as low false alarms rates obtained on these experimental data show that the proposed method is efficient for boiling detection. Most importantly, it shows that the boiling phenomenon introduces a disturbance into the AR models that can be clearly detected.
Related Topics
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Energy Engineering and Power Technology
Authors
Issa Cherif Geraldo, Tanmoy Bose, Komi Midzodzi Pekpe, Jean-Philippe Cassar, A.R. Mohanty, Kévin Paumel,