Title | ||
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Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods. |
Abstract | ||
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In this paper, we investigate the feasibility of a strategy of fault detection capable of controlling misclassification probabilities, i.e., balancing false and missed alarms. The novelty of the proposed strategy consists of i) a signal grouping technique and signal reconstruction modeling technique (one model for each subgroup), and ii) a statistical method for defining the fault alarm level. We ... |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/TR.2013.2285033 | IEEE Transactions on Reliability |
Keywords | DocType | Volume |
Fault detection,Signal reconstruction,Gaussian distribution,Statistical analysis,Genetic algorithms,Inductors | Journal | 62 |
Issue | ISSN | Citations |
4 | 0018-9529 | 2 |
PageRank | References | Authors |
0.38 | 5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Francesco Di Maio | 1 | 124 | 14.20 |
Piero Baraldi | 2 | 236 | 21.96 |
Enrico Zio | 3 | 742 | 57.86 |
Redouane Seraoui | 4 | 41 | 2.86 |