Spurious mode distinguish by eigensystem realization algorithm through moving data
Modal parameter identification is an important technique in the structural health monitoring(SHM)for civil engineering.Among the identification methods,Eigensystem realization algorithm(ERA)is well developed,which has been used to many practical aerocraft engineering.However,the environment is very complicated for the civil engineering,which can add the noises into the procedure of identification.Then the spurious mode would be generated.This paper presented a new method to distinguish the spurious mode using ERA.First,the moving data is used to ERA,where every two data sequences have one time step shift.Then the Hankel matrices constructed by the moving data can generate many group modal parameters.The spurious modes in these group parameters are not stable.For this characteristic,a modified stabilization diagram called moving data diagram is proposed,which combines the traditional stabilization diagram.The moving data diagram shows the mode variation along the different choice of Hankel matrices,which indicates whether the mode is spurious or not.The traditional stabilization diagram helps to determine the concerned truncated order before moving data diagram is implemented.Finally,a numerical example is used to verify the proposed method,and white noises are added.The results show that the proposed method can exhibit the spurious mode variation and distinguish the spurious modes.
eigensystem realization algorithm (ERA) spurious mode stabilization diagram Hankel matrix singular value decomposition (SVD)
C.X.QU T.H.Yi Q.Feng H.B.Liu
School of Civil Engineering,Dalian University of Technology,Dalian,China Key Laboratory of Earthquake Geodesy,Institute of Seismology,China Earthquake Administration,Wuhan,4 Tianjin Research Institute for Water Transport Engineering,National Engineering Laboratory for Port
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
2292-2298
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）