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Article

21 Citations

3,397 Views

24 Pages

A Model-Assisted Probability of Detection Framework for Optical Fiber Sensors

Francesco Falcetelli,
Nan Yue,
Leonardo Rossi,
Gabriele Bolognini and ,
Filippo Bastianini,
Dimitrios Zarouchas and
Raffaella Di Sante
+ 2 authors+ 0 author

Sensors2023, 23(10), 4813;https://doi.org/10.3390/s23104813

16 May 2023

Optical fiber sensors (OFSs) represent an efficient sensing solution in various structural health monitoring (SHM) applications. However, a well-defined methodology is still missing to quantify their damage detection performance, preventing their cer...

(This article belongs to the Special Issue Application of Optical Fiber Sensors for Structural Health and Usage Monitoring)

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Article

7 Citations

2,702 Views

13 Pages

Efficient Model Assisted Probability of Detection Estimations in Eddy Current NDT with ACA-SVD Based Forward Solver

Yang Bao,
Minxuan Xu,
Jiahao Qiu and
Jiming Song

Sensors2022, 22(19), 7625;https://doi.org/10.3390/s22197625

8 October 2022

Model assisted probability of detection (MAPoD) is crucial for quantifying the inspection capability of a nondestructive testing (NDT) system which uses the coil or probe to sense the size and location of the cracks. Unfortunately, it may be computat...

(This article belongs to the Special Issue Electromagnetic Sensing and Nondestructive Evaluation)

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