Multitask learning for simultaneous damage detection and localization in beam-like structures using fibre-optic vibration sensor
Comparison with the strongest overall single-task baseline, the MLP, showed a statistically significant but small classification advantage and larger reductions in localization error, supporting the framework’s potential for simultaneous damage classification and localization in beam-like structures.