DocumentCode
2625778
Title
Dam safety fusion evaluation based on fuzzy pattern recognition
Author
He, Jinping ; Shi, Yuqun
Author_Institution
State Key Lab. of Water Resources & Hydropower Eng. Sci., Wuhan Univ., Wuhan, China
fYear
2011
fDate
27-29 June 2011
Firstpage
1177
Lastpage
1180
Abstract
Dam safety evaluation is a hierarchical fusion analysis and evaluation problem with multi-index and multi-layer structure and multi-source information. In this paper, based on the basic principle of fuzzy pattern recognition, the classification method of fuzzy subsets of dam safety state are researched, the calculating method of membership of quantitative indexes are put forward, the criterion and model of fuzzy pattern recognition are discussed Further more, the dam safety fusion evaluation method fuzzy pattern recognition is constructed based on fuzzy pattern recognition principle and multiple effect-variable of dam safety monitoring, and an example was given. The research results in this paper can provide new method to dam safety fusion evaluation of multiple effect-variable.
Keywords
condition monitoring; dams; fuzzy set theory; pattern recognition; safety systems; classification method; dam safety fusion evaluation; dam safety monitoring; fuzzy pattern recognition; fuzzy subset; hierarchical fusion analysis; multiindex structure; multilayer structure; multisource information; Helium; Indexes; Monitoring; Pattern recognition; Presses; Safety; Water resources; dam safety; fusion; fuzzy pattern recognition; fuzzy subset; multi-source information;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974975
Filename
5974975
Link To Document