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Multidamage Detection of Bridges Using Rough Set Theory and Naive-Bayes Classifier
المؤلفون المشاركون
Sun, Shuang
Liang, Li
Li, Ming
Li, Xin
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-05-27
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
This paper is intended to introduce a two-stage detection method to solve the multidamage problem in bridges.
Vibration analysis is conducted to acquire the dynamic fingerprints which are regarded as information sources.
Bayesian fusion is used to integrate these sources and preliminarily locate the damage.
Then, the RSNB method which combines rough set theory and Naive-Bayes classifier is proposed to simplify the sample dimensions and fuse the remaining attributes for damage extent detection.
A numerical simulation of a real structure, the Sishui Bridge in Shenyang, China, is conducted to validate the effectiveness of the proposed detection method.
Data fusion based method is compared with single-valued index method at the damage localization stage.
The proposed RSNB method is compared with the Back Propagation Neural Network (BPNN) method at the damage qualification stage.
The results show that the proposed two-stage damage detection method has better performances in regard to transparency, accuracy, efficiency, noise robustness, and stability.
Furthermore, an ambient excitation modal test was carried out on the bridge to obtain the vibration responses and assess the damage condition with the proposed method.
This novel approach is applicable for early damage detection and provides a basis for bridge management and maintenance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sun, Shuang& Liang, Li& Li, Ming& Li, Xin. 2018. Multidamage Detection of Bridges Using Rough Set Theory and Naive-Bayes Classifier. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1208523
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sun, Shuang…[et al.]. Multidamage Detection of Bridges Using Rough Set Theory and Naive-Bayes Classifier. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1208523
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sun, Shuang& Liang, Li& Li, Ming& Li, Xin. Multidamage Detection of Bridges Using Rough Set Theory and Naive-Bayes Classifier. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1208523
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1208523
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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