Structural damage assessment using improved Dempster-Shafer data fusion algorithm

التفاصيل البيبلوغرافية
العنوان: Structural damage assessment using improved Dempster-Shafer data fusion algorithm
المؤلفون: She-liang Wang, Yi-jie Ding, Xiaofei Yao, Xin-dong Zhao
المصدر: Earthquake Engineering and Engineering Vibration. 18:395-408
بيانات النشر: Springer Science and Business Media LLC, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 021110 strategic, defence & security studies, Damage detection, Computer science, Mechanical Engineering, 0211 other engineering and technologies, Truss, 020101 civil engineering, Diagnostic accuracy, 02 engineering and technology, Building and Construction, Geotechnical Engineering and Engineering Geology, computer.software_genre, 0201 civil engineering, Dempster–Shafer theory, Data fusion algorithms, A priori and a posteriori, Structural health monitoring, Data mining, computer, Civil and Structural Engineering
الوصف: As an efficient tool in handling uncertain issues, Dempster-Shafer evidence theory has been increasingly used in structural health monitoring and damage detection. In applications, however, Dempster-Shafer evidence theory sometimes leads to counter-intuitive results. In this study, a new fusion algorithm of evidence theory is put forward to address various counter-intuitive problems and manage the reliability difference of the evidence. The proposed algorithm comprises the following aspects: (1) Dempster’s combination rule is generalized by introducing the concept of evidence ullage. The new rule allows classical Dempster’s rule and can resolve counter-intuitive problems cause by evidence conflict and evidence compatibility; (2) a reliability assessing method based on a priori and posterior knowledge is proposed. Compared with conventional reliability assessment, the proposed method can reflect the actual evidence reliabilities and can efficiently reduce decision risk. Numerical examples confirm the validity and utility of the proposed algorithm. In addition, an experimental investigation on a spatial truss structure is carried out to illustrate the identified ability of the proposed approach. The results indicate that the fusion algorithm has no strict request on the accuracy and consistency of evidence sources and can efficiently enhance diagnostic accuracy.
تدمد: 1993-503X
1671-3664
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::95b1fb0437e6c9fae7ce03ebb5b71d10
https://doi.org/10.1007/s11803-019-0511-z
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........95b1fb0437e6c9fae7ce03ebb5b71d10
قاعدة البيانات: OpenAIRE