Blind identification of sparse Volterra systems

Tan, Hongzhou; Huang, Yihua; Fu, Jian

doi:10.1002/acs.1011

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…To overcome this limitation, attempts have been made in literature to estimate the system parameters without information of excitations. Tan et al 28 proposed a sparse blind Volterra kernel parameter identification method and applied it to a single DOF system under distributed stationary random excitations. However, this method is considered oversimplified by removing all the memory terms.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear structural damage detection using output‐only Volterra series model

Peng

Hao

et al. 2021

Structural Contr & Hlth

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Summary Volterra series is a promising technique with great potential for nonlinear system identification. The conventional Volterra series model computes the output responses by performing multiple convolutions between the input excitation and Volterra kernels function. However, the difficulty in acquiring the excitation forces of civil engineering structures under operating conditions greatly limits the application of using Volterra series‐based method for system identification. This paper proposes an output‐only‐based approach using Volterra series model for nonlinear structural damage detection, by quantifying the nonlinear behavior of structures without the prior knowledge of external excitations. The proposed approach uses the structural responses measured at two different locations to identify the kernel function parameters and evaluate the contribution of nonlinear components in the measured responses. The ratio between the standard deviation of the nonlinear components and that of the overall structural response is adopted as damage‐sensitive index to quantify the contributions from these two adjacent sensors for performing nonlinear structural damage detection. Numerical studies on a beam structure with a breathing crack under different levels of white noise excitations and experimental studies on a precast segmental concrete column subjected to ground motions with different peak ground acceleration (PGA) values are conducted to validate the capability and accuracy of using the proposed approach for nonlinear structural damage detection. The results demonstrate that the proposed approach is capable of performing nonlinearity quantification effectively and locating structural nonlinear damage. The increasing damage index value can also be used to register the increasing damage severity.

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Section: Introductionmentioning

confidence: 99%

Nonlinear structural damage detection using output‐only Volterra series model

Peng

Hao

et al. 2021

Structural Contr & Hlth

View full text Add to dashboard Cite

show abstract

“…A vast number of methods based on blind source separation (BSS) techniques have been widely used due to their potential in modal analysis based on output-only signals [14,19,36]. In such cases, the Volterra series theory has been extensively used mainly in areas such as signal processing and communications [12,24,28] and damage detection and location in multi-degreeof-freedom (MDOF) systems based on the transmissibility of nonlinear output frequency response functions (NOF-RFs) [17,37]. Scussel and Silva [24] proposed recently the use of Volterra series and orthonormal basis expansions to identify the higher-order kernels in the discrete-time domain through a least-squares approach and output-only signals.…”

Section: Introductionmentioning

confidence: 99%