Return
An adaptive damage detection method based on differential evolutionary algorithm for beam structures
DOI:10.1016/j.measurement.2021.109227.png)
Abstract
En 中文
An adaptive singular value decomposition (SVD) method is proposed to detect damage based on the differential evolutionary algorithm for beam structures. B-spline wavelet on the interval finite element method is applied to model the damaged structures. The modal shape data obtained by modal analysis are used to construct attractor trajectory matrix, and SVD-based method is adopted to detect damage locations. In order to accommodate to different damage cases, differential evolutionary algorithm (DE) is used to adaptively optimize the parameters of SVD-based method. Both simulation and experiment researches are set up to verify the proposed method. The results indicate that the presented method is accurately effective to identify the damage for beam structures.
Keywords:
Damage detection
Singular value decomposition (SVD)
Differential evolutionary (DE) algorithm
Beam
Journal
IF:
5.6
Papers:
2.1W
Citations:
5.4W
Organization
Cited Papers
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
MEASUREMENT
IF5.6
Quantitative diagnosis method of beam defects based on laser Doppler non-contact random vibration measurement
MEASUREMENT
IF5.6

