[1]
|
袁慎芳.结构健康监控[M].北京:国防工业出版社,2007 Yuan S F. Structural health monitoring and damage control[M]. Beijing:National Defence Industry Press, 2007(in Chinese)
|
[2]
|
Farrar C R, Worden K. An introduction to structural health monitoring[J]. Philosophical Transactions of the Royal Society A:Mathematical, Physical and Engineering Sciences, 2007,365(1861):303-315
|
[3]
|
朱军华,余岭.结构损伤响应时程主成分及其相关性分析[J].振动与冲击,2012,31(19):156-159 Zhu J H, Yu L. Correlation analysis for principal components of damage response time histories of a structure[J]. Journal of Vibration and Shock, 2012,31(19):156-159(in Chinese)
|
[4]
|
Sohn H, Farrar C R, Hemez F M, et al. A review of structural health monitoring literature:1996-2001[R]. LA-13976-MS. New Mexico:Los Alamos National Laboratory, 2004
|
[5]
|
朱宏平,余璟,张俊兵.结构损伤动力检测与健康监测研究现状与展望[J].工程力学,2011,28(2):1-11,17 Zhu H P, Yu J, Zhang J B. A summary review and advantages of vibration based damage identification methods in structural health monitoring[J]. Engineering Mechanics, 2011,28(2):1-11,17(in Chinese)
|
[6]
|
Mujica L E, Vehi J, Ruiz M, et al. Multivariate statistics process control for dimensionality reduction in structural assessment[J]. Mechanical Systems and Signal Processing, 2008,22(1):155-171
|
[7]
|
Bandara R P, Chan T H T, Thambiratnam D P. Structural damage detection method using frequency response functions[J]. Structural Health Monitoring, 2014,13(4):418-429
|
[8]
|
Mujica L, Rodellar A, Fernandez A, et al. Q-statistic and T2-statistic PCA-based measures for damage assessment in structures[J]. Structural Health Monitoring, 2011,10(5):539-553
|
[9]
|
Yan A M, Kerschen G, De Boe P, et al. Structural damage diagnosis under varying environmental conditions-Part I:a linear analysis[J]. Mechanical Systems and Signal Processing, 2005,19(4):847-864
|
[10]
|
于秀林,任雪松.应用多元统计分析[M].2版.北京:中国统计出版社,2011 Yu X L, Ren X S. Applied multivariate statistical analysis[M]. 2nd ed. Beijing:China Statistics Press, 2011(in Chinese)
|
[11]
|
Sierra-Pérez J, Guemes A, Mujica L E, et al. Damage detection in composite materials structures under variable loads conditions by using fiber Bragg gratings and principal component analysis, involving new unfolding and scaling methods[J]. Journal of Intelligent Material Systems and Structures, 2015,26(11):1346-1359
|
[12]
|
Manson G, Worden K, Holford K, et al. Visualisation and dimension reduction of acoustic emission data for damage detection[J]. Journal of Intelligent Material Systems and Structures, 2001,12(8):529-536
|
[13]
|
Tibaduiza D A, Mujica L E, Rodellar J, et al. Structural damage detection using principal component analysis and damage indices[J]. Journal of Intelligent Material Systems and Structures, 2016,27(2):233-248
|
[14]
|
Gharibnezhad F, Mujica L E, Rodellar J. Applying robust variant of principal component analysis as a damage detector in the presence of outliers[J]. Mechanical Systems and Signal Processing, 2015,50-51:467-479
|
[15]
|
Tibaduiza D A, Mujica L E, Rodellar J. Damage classification in structural health monitoring using principal component analysis and self-organizing maps[J]. Structural Control & Health Monitoring, 2013,20(10):1303-1316
|