[1]LI P J, XU D W, ZHANG J. Probability-based structural health monitoring through Markov chain Monte Carlo sampling[J]. International Journal of Structural Stability and Dynamics, 2016, 16(7): 1550039.
[2]BAO C X, HAO H, LI Z X. Integrated ARMA model method for damage detection of subsea pipeline system[J]. Engineering Structures, 2013, 48: 176-192.
[3]李万润, 杜永峰, 倪一清, 等. 基于伪传递函数的高耸结构损伤识别[J]. 振动、测试与诊断, 2015, 35(1): 63-69.
LI Wanrun, DU Yongfeng, NI Yiqing, et al. High-rise structure damage identification based on pseudo-transfer function [J]. Journal of Vibration,Measurement & Diagnosis, 2015, 35(1): 63-69.
[4]FASSOIS S D, SAKELLARIOU J S. Time-series methods for fault detection and identification in vibrating structures[J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2007, 365(1851): 411-448.
[5]ZHENG H T, MITA A. Damage indicator defined as the distance between ARMA models for structural health monitoring[J]. Structural Control & Health Monitoring, 2008, 15(7): 992-1005.
[6]DA SILVA S, DIAS M, LOPES V. Damage detection in a benchmark structure using AR-ARX models and statistical pattern recognition[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2007, 29(2): 174-184.
[7]NAIR K K, KIREMIDJIAN A S, LAW K H. Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure[J]. Journal of Sound and Vibration, 2006, 291(1/2): 349-368.
[8]SAAED T E,NIKOLAKOPOULOS G. Identification of building damage using ARMAX model: A parametric study[J]. Diagnostyka, 2016, 17(3): 3-14.
[9]罗德河, 郑东健, 甘声玄, 等. 基于ARMAX模型的混凝土坝损伤诊断[J]. 武汉大学学报(工学版), 2018, 51(4): 294-298.
LUO Dehe, ZHENG Dongjian, GAN Shengxuan, et al. Damage diagnosis of concrete dams based on ARMAX model[J]. Engineering Journal of Wuhan University, 2018, 51(4): 294-298.
[10]BOLLERSLEV T. Generalized autoregressive conditional heteroskedasticity[J]. Journal of Econometrics, 1986, 31(3): 307-327.
[11]KIM Y, HWANG E. A dynamic Markov regime-switching GARCH model and its cumulative impulse response function[J]. Statistics & Probability Letters, 2018, 139: 20-30.
[12]ZHANG Y J, ZHANG Y X, DENG Z M, et al. Sea surface target detection based on complex ARMA-GARCH processes[J]. Digital Signal Processing, 2017, 70: 1-13.
[13]CHEN L J, YU L. Structural nonlinear damage identification algorithm based on time series ARMA/GARCH model[J]. Advances in Structural Engineering, 2013, 16(9): 1597-1609.
[14]JIANG W, RUAN Q S, LI J F, et al. Modeling returns volatility: Realized GARCH incorporating realized risk measure[J]. Physica A: Statistical Mechanics and Its Applications, 2018, 500: 249-258.
[15]XING Z H, MITA A. Locating the damaged storey of a building using distance measures of low-order AR models[J]. Smart Structures and Systems, 2010, 6(9): 991-1005.
[16]赵仕通, 肖黎, 屈文忠. 框架结构非线性损伤的主成分分析识别方法研究[J]. 机械科学与技术, 2018, 37(1): 8-12.
ZHAO Shitong, XIAO Li, QU Wenzhong. Study on nonlinear damage identification of frame structure with a principal component analysis method[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(1): 8-12. |