Abstract：Structural damage detection method using the inner product vector (IPV) of vibration response and data fusion was investigated in this paper, and the corresponding damage detection experiments were performed. In the experiments, random excitation and sinusoidal excitation were adopted, respectively，and the acceleration responses of the structure were acquired. The damage indexes were calculated based on IPV technique, and then the data fusion technique was further performed on the damage indexes calculated by different reference measuring points. The damage detection experiment of a frame structure showed that the misjudgment of damage caused by reference point selection in the original IPV method can be avoided and the structural damage can be detected correctly when combining the IPV method with data fusion technique. The damage detection results comparisons under these two different type excitations, demonstrates that data fusion technique can improve the damage detection precision significantly when the structure is excited by sinusoidal signal.
胡鑫;杨智春;王乐. 基于振动响应内积向量和数据融合的结构损伤检测方法试验研究[J]. , 2013, 32(14): 109-115.
Hu Xin;Yang Zhichun;Wang Le . Damage detection of structures by a combined approach of IPV method and data fusion. , 2013, 32(14): 109-115.
2013, Vol. 32 
