Improvement of Health Monitoring System for Environment with Noise

摘要：

In this paper,an attempt is made to develop a structural health monitoring system that can adapt to the structural systems and environments with noise,by introducing the learning ability.At the previous research,a health monitoring system that can adapt to the structural systems and environments through the learning ability was developed,which can obtain the recognition rate of over 80％.By introducing the learning ability,it is unnecessary to prepare any previous knowledge and examination for the underlying structures and environment.However the previous research did not account for the noise involved in data from sensor.Through the numerical examples,it is concluded that the proposed system can recognize the change of structural characteristics and condition states even under noisy environment.

关键词： health monitoring learning ability noisy environment time series prediction

作者: Hitoshi Furuta Hiroshi Hattori

作者单位: Kansai University,Takatsuki,Japan

会议类型: 国际会议

会议名称: The World Forum on Smart Materials and Smart Structures Technology(SMSST07)(2007年世界智能材料与智能结构技术论坛)

会议地点: 重庆·南京

会议语种:英文

在线出版日期: 2007-05-01（万方平台首次上网日期，不代表论文的发表时间）