【摘要】 基于多源损伤信息可以有效解决由多种不确定性所导致的损伤误判问题。将证据理论作为理论基础,研究基于多源信息的损伤识别方法。为了充分体现不同证据在重要性、可靠性方面的差异,在考虑实际损伤识别过程的基础上,提出了基于先验和后验可靠性联合校正的证据合成方法。损伤识别试验研究表明,所提出的证据合成方法优于经典的D-S合成法则;相对于传统的基于单一损伤信息的损伤识别而言,基于多源损伤信息能够有效降低损伤误判的可能性,获得准确性、鲁棒性更好的损伤识别结果。更多还原

【Abstract】 In order to reduce the damage misidentification induced by uncertain factors,a damage assessment method is developed.The damage identification is carried out based on information fusion technique.For multiple damage evidences,in order to reflect their differences in importance and reliability,a new evidence combination rule is established.By means of the jointed verification of pre-and post-reliability,the evidence combination result is approved.The feasibility and validity of the proposed method are demonstrated by damage identification experiment.Experimental results show that the method presented in this paper is superior to classical D-S fusion theory.And in contrast to traditional damage assessment method,more reliable identification results can be obtained by the proposed algorithm.更多还原