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Optimizing the Number of Acoustic Emission Sensors Using the Bees Algorithm for Detecting Surface Fractures
2018
Procedia CIRP
Non-destructive testing methods have gained popularity as they become more widely available. Although there are several techniques that could be used for this purpose, this paper focuses on acoustic emission sensors for detecting surface fractures and the use of the Bees Algorithm, a swarm-based technique, for optimizing the number of sensors required to reliably detect surface fractures. The paper describes the approach that has been used in this study where the dimension of the surface is
doi:10.1016/j.procir.2017.12.227
fatcat:jgeyjlwvyfgnrdslw3xthcuf5u