Fiber Bragg grating (FBG) sensors have great application prospects in identifying impact location on aircraft,especially for real-time monitoring.Here,a method to identify impact location was designed based on wavelet packet energy eigenvector and the similarity measurement algorithm,according to the relationships between amplitude-frequency characteristics induced by different impact locations,the closer two impact locations,the similar these two amplitude-frequency characteristics.Then,a monitor system was constructed of fiber-reinforced composite laminates and FBG sensors to verify the effectiveness of the proposed method.Initially,an energy eigenvector database was established by impacting all selected points on the laminates.Then,energy eigenvector was recorded by impacting an arbitrary position.By computing the similarity between the energy eigenvector recorded and all energy eigenvectors in database,the impact location could be determined with a tolerable error.Within 16 experiments on a 480 mm×480 mm fiber-reinforced composite laminates,the maximum error was 40mm.
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