@inproceedings{f5522ceface54110a012969758baef03,
title = "Applying KDD to a structure health monitoring system based on a real sited bridge: Model reshaping case",
abstract = "Knowledge discovery (KDD) method aims to solve the problem of massive data. For bridge engineering, the structural health monitoring (SHM) system is cumulative data from time to time, but the whole system should be understudied in real time. Data mining should be used in one of the KDD process. This article proposed a regular rule of analyzing the SHM data from a real sited bridge. The data aim to help engineers understanding the system degradation of the bridge.",
keywords = "Bridge, Durability, KDD, SHM",
author = "Ma, \{Ming Lei\} and Wang, \{Gui Ling\} and Miao, \{Dong Mei\} and Xian, \{Gui Jun\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.472.535",
language = "英语",
isbn = "9783037859650",
series = "Applied Mechanics and Materials",
pages = "535--538",
booktitle = "Mechanical Science and Engineering IV",
note = "2014 4th International Conference on Mechanical Science and Engineering, ICMSE 2014 ; Conference date: 02-01-2014 Through 04-01-2014",
}