智能材料与结构是当前研究的热门课题，本文介绍了我们所研制的一种能够对损伤进行自诊断的智能结构系统，系统能进行损伤或大应变位置的自诊断及损伤级别的判断，主要介绍了智能复舍材料结构试件的制作、四点法传感元件的布置及应用模式识别算法的研究，该系统具有较高的自诊断功能率。

This study focuses on an active monitoring method for damage detection applied to composite structures. Honeycomb sandwich and carbon fiber composite structures are studied. Two kinds of damage are considered: delamination and impact damage. Wavelet analysis methods are adopted to postprocess the raw monitored signal. A new damage signature is introduced to determine the presence and extent of damage in composites, while eliminating the influence of different distances between the active actuator and active monitoring elements. The proposed method is shown to be effective, reliable, and straightforward for the specimens considered in the present study, which are composed of different materials and suffer various levels of damage. An online real-time active monitoring system for damage detection is described that is based on this research.