Scanning for light detection and Energy Centre Localization Methods assesment in vision systems for SHM

In this research, six Energy Centre Localization Methods are assessed by Wilcoxon Signed Rank Test. Due to SHM is an upcoming tendency of determining the integrity of structures and development of strategies to prevent undesirable damage, it is necessary to detect a light emitter mounted on the structure under monitoring and calculate the energy centre localization. After a short introduction to the energy centre localization methods, a machine learning technique was applied to predict measurement errors and adjust non-linear variation for measurement accuracy improvement. An Optical Scanning System was enhanced by measurement at the optical signal energy centre and error adjustment by SVM algorithm. The theoretical methods principles, experimental development and validation are presented.