@inproceedings{ed30729474a0465cab34cf64a54432d5,
title = "A novel bridge structure damage diagnosis algorithm based on statistical pattern recognition",
abstract = "This paper presents a structure damage detection algorithm based on statistical pattern recognition to analyze the acquired data to evaluate the health level of bridge. In this algorithm a novel statistical pattern recognition damage detection algorithm including a new damage sensitive index DSPR is proposed to determine the severity and location of damages. This paper also presents simulation and experiment, including a detection experiment of making artificial damage to a real bridge, to show that our design choices are indeed quite effective.",
keywords = "Statistical pattern recognition, WSN (wireless sensor network), bridge diagnosis, system design",
author = "Haitao Xiao and Cheng Lu and Harutoshi Ogai and Koushik Roy",
note = "Publisher Copyright: {\textcopyright} 2014 SICE.; 2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014 ; Conference date: 09-09-2014 Through 12-09-2014",
year = "2014",
month = oct,
day = "23",
doi = "10.1109/SICE.2014.6935224",
language = "英语",
series = "Proceedings of the SICE Annual Conference",
publisher = "Society of Instrument and Control Engineers (SICE)",
pages = "775--780",
booktitle = "Proceedings of the SICE Annual Conference",
}