基于D-S证据理论的两级数据融合方法在结构损伤识别中的应用

onsidering the incompleteness of the exisiting damage detection indicators in structure health monitoring, a two-level data fusion method based on D-S evidence theory is proposed. PCR6 rule that based on DSM theory is applied in the first level combination; Dempster rule is then adopted in the second level. Four kinds of damage identification injury data sources (modal analysis, modal strain energy, modal flexibility curvature and wavelet packet analysis method ) are appliedas the data source. Numerical examples show that the two-level data fusion method can identify the damage location of a single trust paradox, more trust paradox paradox and conflict situations.