This paper presents a structural health monitoring (SHM) methodology for detecting damage in a composite bonded repair. The application of guided wave based techniques in a step-sanded bonded repair under operational and environmental load is thoroughly investigated. A two step damage detection and localization algorithm is presented, were in the first level the path damage indices (PDIs) for each transducer pair is calculated. The PDIs are then compared to a set threshold (based on the environmental and operational conditions) to increase the reliability of damage detection while reducing false alarm. In addition, a self-diagnosis approach based on electro-mechanical impedance (EMI) measure is proposed to identify the faulty sensors prior to the diagnosis. Once the transducer pairs with possible damage in their path has been selected, the second level of the proposed methodology is damage localization. To address the challenge of edge reflection, complex geometrical shape and layup of the repair patch which introduced anisotropy to the wave propagation, a novel damage detection based on probability imaging technique is proposed. The methodology is developed based on assigning probabilities of damage to the Minimal Intersection Score (MIS) to reduce the path saturation related to each path having the same probability of damage being located anywhere along it. The proposed method, uses a smart sub-division technique based on Voronoi Tessellation which is adaptable to any shape (circular, rectangular, elliptical). The reliability of the proposed method is then demonstrated with experimental results on a composite step-sanded repair subjected to impact damage under vibration and temperature variations, and the choice of input parameters such as wave form and excitation frequency on the probability of detecting damage is demonstrated.

本文提出了一种结构健康监测（SHM）方法，用于检测复合粘结修复中的损坏。深入研究了基于导波的技术在操作和环境负荷下在阶梯式砂面粘结修复中的应用。提出了两步损伤检测和定位算法，在第一级中，计算每个换能器对的路径损伤指数（PDI）。然后将PDI与设置的阈值（基于环境和操作条件）进行比较，以提高损坏检测的可靠性，同时减少误报。此外，提出了一种基于机电阻抗（EMI）措施的自诊断方法，以在诊断之前识别出故障传感器。一旦选择了在路径上可能造成损坏的传感器对，拟议方法的第二级是损伤定位。为了解决边缘反射，复杂的几何形状和修复斑块的叠置等问题，将各向异性引入波的传播，提出了一种基于概率成像技术的新型损伤检测方法。该方法的开发基于将最小交叉点得分（MIS）分配给损坏的可能性，以减少与具有相同损坏概率的每个路径相关的路径饱和度，这些路径位于其任何位置。所提出的方法使用基于Voronoi细分的智能细分技术，该细分技术适用于任何形状（圆形，矩形，椭圆形）。