详情

Data Acquisition, Detection and Estimation for Structural Health Monitoring

项目名称：	Data Acquisition, Detection and Estimation for Structural Health Monitoring
摘要：	Although using sensor networks for SHM (structural health monitoring) is not a new concept, very few projects have investigated the problems of detection (of defects) and estimation (of damage location) using network-acquired data. In statistics detection and estimation theory were established by assuming the measurement data come with reliable statistics, for instance, the probability of a particular observation. However, such statistics often requires large amount of observations. In wireless sensor networks, data acquisition is a costly operation since wireless sensor networks are both bandwidth and power limited. The amount of measurement data that can be reported to the base station is therefore very limited. Data acquisition from sensor networks has been treated as a trivial subject and often is performed by using fixed-interval sensing and reporting. In this project, we will provide a thorough treatment of sampling, detection and estimation for using sensor network data. Specifically, (a) We will investigate the fundamental sampling issue, particularly, for each type of physical measurement, what is the best sampling rate and whether adaptive sampling is more suitable than uniform sampling. Based on the sampling discipline, the sensing and communication protocols are developed; (2) for structural defect detection, we propose to use the likelihood ratio test method with Bayes criterion and compare it with the basic LRT method; through the detector, we narrow the scope of the defect to be within the spatial interval of some sampling points; (3) once it is concluded that a defect exists, the maximum likelihood estimator is used to further estimate the location of the defect. The algorithms will be validated thorough test bed experiments or simulations.
状态：	Completed
资金：	16052.00
资助组织：	Missouri University of Science & Technology, Rolla
开始时间：	20130515
实际结束时间：	20131231
主题领域：	Bridges and other structures；Data and Information Technology；Highways；Safety and Human Factors