Time-varying system identification using a newly improved HHT algorithm

Bao, Chen; Hao, Hong; Li, Zhongxian; Zhu, Xinqun

doi:10.1016/j.compstruc.2009.08.016

Cited by 73 publications

(41 citation statements)

References 20 publications

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“…It is less effected by the limitation of Heisenberg uncertainty principle, and, theoretically, should be able to achieve high time resolution and frequency resolution at the same time. However, previous study conducted by the authors (Bao et al, 2009) proved that traditional HHT did not work so well as expected, and its identification accuracy and stability are infl uenced by some inherent problems. Accordingly, on the basis of traditional HHT, an improved HHT method has been developed to overcome those problems.…”

Section: Resolution Propertymentioning

confidence: 84%

See 1 more Smart Citation

A study of variability and applicability of various signal processing techniques in structural system identification

Bao

Hao

Li³

2013

AJSE

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The structural responses and vibration properties such as frequencies and mode shapes are directly related to the structural mass and stiffness. Changing structural conditions will affect the structural responses and vibration properties. Structural conditions can thus be identifi ed through measurements of structural vibration. However, certain uncertainties associated with structure models, changing ambient environmental conditions, changing loading conditions, equipment noises and various signal processing techniques used in extracting structural vibration properties, etc. is inevitable. The infl uences of these uncertainties on structural vibration properties might be more signifi cant than that of the structural damage, therefore, cause false identifi cation or result in the true structural damage not identifi able. This paper studies the applicability and reliability of a few popularly used modal identifi cation methods including time-domain, frequencydomain and time-frequency domain methods for civil structural system identifi cation. The results indicate that on average a 2% to 3% error tends to be yielded by using different signal processing techniques for vibration frequencies identifi cation when the signal is not heavily noise contaminated, which should be taken into account when estimating the damage detection results. The applicability of the time-frequency domain methods to the identifi cation of time-varying system either with sudden change or continuous variance is also discussed.

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Section: Resolution Propertymentioning

confidence: 84%

“…smoothly varying, periodically varying, and abruptly varying systems of 2DOF and 4DOF are numerically studied. Bao et al (2009) proposed an improved HHT method for the identifi cation of time-varying system.…”

Section: Hilbert-huang Transformmentioning

confidence: 99%

A study of variability and applicability of various signal processing techniques in structural system identification

Bao

Hao

Li³

2013

AJSE

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“…Bao proposed a newly improved Hilbert-Huang transform (HHT) algorithm for identification of time-varying systems and analysis of nonlinear structural response with closely spaced modes. In this improved HHT, the auto-correlation function of the structural response is taken as a substitute of input to reduce noise effect (Bao et al, 2009). Niedzwiecki used noncausal estimation algorithms, which involve smoothing, for off-line identification of nonstationary systems.…”

Section: Introductionmentioning

confidence: 99%

Parameter identification and pressure control of dynamic system in shield tunneling using least squares method

Cao

Shangguan

et al. 2010

J Coal Sci Eng China

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An estimation approach using least squares method was presented for identification of model parameters of pressure control in shield tunneling. The state equation of the pressure control system for shield tunneling was analytically derived based on the mass equilibrium principle that the entry mass of the pressure chamber from cutting head was equal to excluding mass from the screw conveyor. The randomly observed noise was numerically simulated and mixed to simulated observation values of system responses. The numerical simulation shows that the state equation of the pressure control system for shield tunneling is reasonable and the proposed estimation approach is effective even if the random observation noise exists. The robustness of the controlling procedure is validated by numerical simulation results.

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“…[5 -10] Another class of method is based on time-series or time -frequency analysis of data such as autoregressive (AR) models, [11,12] signal processing using wavelet [13] and HilbertHuang transform. [14] Soft computing techniques such as artificial neural networks and genetic algorithms have also been used for damage diagnostics. [15 -17] Majority of earlier research in damage-diagnostic techniques are based on vibration response measurements and also a majority of these techniques rely on finite element modelling processes and/or linear modal properties for damage diagnosis.…”

Section: Introductionmentioning

confidence: 99%

A robust damage-detection technique with environmental variability combining time-series models with principal components

Lakshmi

Rao

2014

Nondestructive Testing and Evaluation

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In this paper, a novel output-only damage-detection technique based on time-series models for structural health monitoring in the presence of environmental variability and measurement noise is presented. The large amount of data obtained in the form of time-history response is transformed using principal component analysis, in order to reduce the data size and thereby improve the computational efficiency of the proposed algorithm. The time instant of damage is obtained by fitting the acceleration timehistory data from the structure using autoregressive (AR) and AR with exogenous inputs time-series prediction models. The probability density functions (PDFs) of damage features obtained from the variances of prediction errors corresponding to references and healthy current data are found to be shifting from each other due to the presence of various uncertainties such as environmental variability and measurement noise. Control limits using novelty index are obtained using the distances of the peaks of the PDF curves in healthy condition and used later for determining the current condition of the structure. Numerical simulation studies have been carried out using a simply supported beam and also validated using an experimental benchmark data corresponding to a three-storey-framed bookshelf structure proposed by Los Alamos National Laboratory. Studies carried out in this paper clearly indicate the efficiency of the proposed algorithm for damage detection in the presence of measurement noise and environmental variability.

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Time-varying system identification using a newly improved HHT algorithm

Cited by 73 publications

References 20 publications

A study of variability and applicability of various signal processing techniques in structural system identification

A study of variability and applicability of various signal processing techniques in structural system identification

Parameter identification and pressure control of dynamic system in shield tunneling using least squares method

A robust damage-detection technique with environmental variability combining time-series models with principal components

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