Singular spectrum analysis and fuzzy entropy-based damage detection on a thin aluminium plate by using PZTs

Abstract In this research, a new method based on singular spectrum analysis (SSA) and fuzzy entropy is developed for damage detection thin wall-like structures, the normalized employed as an indicator to identify severity of damage. The lead zirconate titanate (PZT) transducers are used in research generate detect Lamb waves. During detection, collected signals from PZT sensors firstly decomposed reconstructed by SSA extract feature damage, then with processed obtain entropy. An experimental setup aluminium plate added magnets fabricated validate proposed method. results show that when attached plate, smaller than there no magnets. That because placed movement some vibration modes waves disturbed disturbing effect can be enhanced increasing number locations magnets, eventually complexity nonlinearity weakened. single different indicate decreases linearly increases, which demonstrates Moreover, multi-damage relevant both total same also plate. This study provides us approach identifying or multiple damages structures.