Interpretable sparse identification of a bistable nonlinear energy sink
Bistable nonlinear energy sinks have received great interest due to their efficient broad-
band targeted energy transfer over a wide range of input energy levels. The precise …
band targeted energy transfer over a wide range of input energy levels. The precise …
A non-intrusive dynamic sensitivity-based substructure model updating method for nonlinear systems
In nonlinear finite element model updating (FEMU), one of the main challenges is how to
improve the updating efficiency for large-scale structures. The computational time of …
improve the updating efficiency for large-scale structures. The computational time of …
[HTML][HTML] Nonlinear characteristics identification of an impact oscillator with a one-sided elastic constraint
B Tian, S Yin, Y Liu, JL Monsalve - Journal of Sound and Vibration, 2024 - Elsevier
Impacting systems are widely used in many engineering applications, such as self-propelled
robots, energy harvesting and percussive drilling, which exhibit rich and complex nonlinear …
robots, energy harvesting and percussive drilling, which exhibit rich and complex nonlinear …
Integrating automatic order determination with response prediction error minimization for nonlinear subspace identification in structural dynamics
The singular value decomposition order determination method used in nonlinear subspace
identification may encounter challenges due to the noise in signals, resulting in the omission …
identification may encounter challenges due to the noise in signals, resulting in the omission …
A subspace parameter identification method for nonlinear structures under oversampling conditions
In engineering practice, sampling frequencies much higher than the Nyquist frequency are
often used to obtain accurate measurements of the dynamic characteristics of nonlinear …
often used to obtain accurate measurements of the dynamic characteristics of nonlinear …
Enhancing Nonlinear Subspace Identification Using Sparse Bayesian Learning with Spike and Slab Priors
R Zhu, S Chen, D Jiang, S Xie, L Ma… - Journal of Vibration …, 2024 - Springer
Purpose Nonlinear system identification heavily relies on the accuracy of nonlinear unit
model selection. To improve identification accuracy, the Sparse Bayesian Learning method …
model selection. To improve identification accuracy, the Sparse Bayesian Learning method …
Detection of bolt looseness in power tower based on Chirplet decomposition algorithm of laser vibration signal
G Wang, Y Guan, J Yu - International Conference on …, 2024 - spiedigitallibrary.org
In response to the problem of difficult detection of loose bolts in transmission tower bolts, this
paper proposes a method for detecting loose bolts in power tower bolts based on the …
paper proposes a method for detecting loose bolts in power tower bolts based on the …