Algorithms for an Optimal False Calls Management

This paper deals with investigations on structural health monitoring algorithms for an optimal false calls management. These false calls are caused, in the current study, by several environmental and operational factors. These factors and their effects are broken down in this paper. To demystify these effects and so reach more reliable monitoring with the best possible trade-off between probability of detection and false alarm rate, some techniques either analytical or statistical could be used. A comparative discussion between these methods is given. An example of a study using an unsupervised method is shown.

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