文献类型：期刊文献

英文题名：Structural damage detection based on autoregressive spectra analysis of time series

作者：Hu, Ming-Hui[1]; Cong, Er-Ding[2]; Tu, Shan-Tung[1]; Xuan, Fu-Zhen[1]; Zhou, Shao-Ping[1]; Xia, Chun-Ming[1]

机构：[1] Key Laboratory of Pressure Systems and Safety, MOE, East China University of Science and Technology, Shanghai, 200237, China; [2] Petro-China Jilin Petrochemical Company, Jilin, 132021, China

年份：2012

卷号：4

期号：PARTS A AND B

起止页码：759

外文期刊名：ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

收录：EI(收录号：20134616978292)

语种：英文

外文关键词：Autocorrelation - Power spectral density - Structural analysis - Time series analysis

摘要：In this paper, an autoregressive spectral analysis method is proposed for on-line structural damage detection. Firstly, the monitoring strain data are modeled as ARMA models. The power spectral density (PSD) value is directly determining by center-autocorrelation function and statistical autocorrelation function. Structural damage detection is conducted by comparing the values of PSD of the inspected structure. Two experimental applications to the detection of damage in industrial piping structure demonstrate the potential and effectiveness of the new damage detection technique. Copyright ? 2012 by ASME.