Prediction Method of Monitoring Data Based on Data Correlation in Civil Engineering

Autor:	Hesong Hu, Chen Hang, Shengfang Qiao, Mengxiong Tang, Zhu Yi, Hu Han
Rok vydání:	2020
Předmět:	Computer science Monitoring data Data correlation Data mining computer.software_genre computer
Zdroj:	IOP Conference Series: Earth and Environmental Science. 567:012017
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/567/1/012017
Popis:	Wireless intelligent health monitoring has been widely used in civil engineering. However, ill-conditioned data could be generated due to the vulnerability to external interference sometimes. The ill-conditioned data have great influence on damage identification and condition assessment. Hence, the prediction method of monitoring data based on data correlation was presented in this paper. The correlation degree between multi-channels data was established by BP neural network. Then the ill-conditioned data was predicted and corrected by the correlation degree between the data, and verified by the measured data. The results indicated that high accuracy and engineering requirement could be achieved using BP neural network prediction method considering the correlation degree between multi-channels data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4737e01fd0be256bf0ef0d5d2a109d40 https://doi.org/10.1088/1755-1315/567/1/012017 Zobrazit plný text záznamu