Damage Detection and Localization using Time Domain Residuals
Structures equipped with an integrated sensor and actuator network and computational abilities to process the measured information are able to perform a self-diagnosis.Many damage identification methods compare the extracted features from the current measured state to those of the healthy state of the structure.This paper focuses on a class of methods that generate and evaluate time domain residuals.These methods use a reference model representing the undamaged state,which is used in conjunction with the current experimental data of the monitored structure.If there is an inconsistency between the “undamagedmodel and the data,the generated residuals change their statistical properties.This effect is used for damage diagnosis.The localization technique used here work on the basis of local sensing areas in the higher frequency range.The methodology is demonstrated by a practical example.The purpose is to localize a damaged stringer using piezo-electric elements as actuators and sensors.
Structural Health Monitoring Damage Localization Nullspace-Based Fault Detection Autoregressive Models with exogenous Input Self Sensing
C.-P. Fritzen P. Kraemer K.J. Xing
Institut of Mechanics and Control Engineering-Mechatronics,University of Siegen,Germany
国际会议
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)
重庆·南京
英文
2007-05-01（万方平台首次上网日期，不代表论文的发表时间）