Modal identification based on Hilbert-Huang Transform of structural response with SVD preprocessing

Zheng, Min; Fan, Saijun; Dou, Yuping; Yan, Xiaoyan

doi:10.1007/s10409-009-0289-8

Cited by 17 publications

(5 citation statements)

References 17 publications

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“…The advantages of ambient vibration monitoring in the field of structural engineering have been well documented in the literature [18][19][20][21][22][23][24][25]. Recently, research in signal processing witnessed the development of new and powerful classes of methods: BSS [26][27][28][29], and timefrequency methods such as empirical modal decomposition (EMD) [30,31] and wavelet-transforms [32] to name a few. Although these methods in themselves show excellent capabilities in dealing with ambient modal identification, their direct use to solve the problem at hand remains a challenge.…”

Section: Introductionmentioning

confidence: 99%

Re-tuning tuned mass dampers using ambient vibration measurements

Hazra¹,

Sadhu²,

Lourenco³

et al. 2010

Smart Mater. Struct.

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Deterioration, accidental changes in the operating conditions, or incorrect estimates of the structure modal properties lead to de-tuning in tuned mass dampers (TMDs). To restore optimal performance, it is necessary to estimate the modal properties of the system, and re-tune the TMD to its optimal state. The presence of closely spaced modes and a relatively large amount of damping in the dominant modes renders the process of identification difficult. Furthermore, the process of estimating the modal properties of the bare structure using ambient vibration measurements of the structure with the TMD is challenging. In order to overcome these challenges, a novel identification and re-tuning algorithm is proposed. The process of identification consists of empirical mode decomposition to separate the closely spaced modes, followed by the blind identification of the remaining modes. Algorithms for estimating the fundamental frequency and the mode shape of the primary structure necessary for re-tuning the TMD are proposed. Experimental results from the application of the proposed algorithms to identify and re-tune a laboratory structure TMD system are presented.

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Section: Introductionmentioning

confidence: 99%

Re-tuning tuned mass dampers using ambient vibration measurements

Hazra¹,

Sadhu²,

Lourenco³

et al. 2010

Smart Mater. Struct.

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“…Some HHT applications in engineering and other areas have been presented by Huang and Shen (2005) and Huang and Attoh-Okine (2005). More research about the EMD applications in signal processing can be found in Chen and Feng (2003), Yang et al (2003aYang et al ( , 2003b, Yang et al (2004), Peng et al (2005), Shi and Law (2007), Shi et al (2009), and Zheng et al (2009). To solve the modal-mixing problem, Wu and Huang (2009) further developed ensemble EMD to decompose the signal.…”

Section: Hilbert Transform and Applications In Civil Engineering Strumentioning

confidence: 99%

Time–frequency analysis and applications in time-varying/nonlinear structural systems: A state-of-the-art review

Wang

Ren

Chen

2018

Advances in Structural Engineering

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Nonlinear dynamic behaviors of civil engineering structures have been observed not only under extreme loads but also during normal operations. Characterization of the time-varying property or nonlinearity of the structures must account for temporal evolution of the frequency and amplitude contents of nonstationary vibration responses. Neither time analysis nor frequency analysis method alone can fully describe the nonstationary characteristics. In this article, an attempt is made to review the milestone developments of time-frequency analysis in the past few decades and summarize the fundamental principles and structural engineering applications of wavelet analysis and Hilbert transform analysis in system identification, damage detection, and nonlinear modeling. This article is concluded with a brief discussion on challenges and future research directions with the application of time-frequency analysis in structural engineering.

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“…It is seen from Table 1 that the detection quality of damping ratios based on the HHT approach is much better than that using the bandwidth method. Zheng et al [36] developed an improved approach by using the singular-value decomposition as a signal preprocessing technique of HHT to extract modal parameters for closely spaced modes and low-energy components. The proposed method is applied to a simulated airplane model and the results demonstrate the validity of the approach.…”

Section: Structures With Closely Spaced Modal Frequenciesmentioning

confidence: 99%

Application of Hilbert-Huang Transform in Structural Health Monitoring: A State-of-the-Art Review

Chen

Zhao

2014

Mathematical Problems in Engineering

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This paper reviews the development and application of HHT in the field of SHM in the last two decades. The challenges and future trends in the development of HHT based techniques for the SHM of civil engineering structures are also put forward. It also reviews the basic principle of the HHT method, which contains the extraction of the intrinsic mode function (IMF), mechanism of the EMD, and the features of HT; shows the application of HHT in the system identification, which contains the introduction of theoretical method, the identification of modal parameters, and the system identification on real structures; and discusses the structural damage detection using HHT based approaches, which includes the detection of common damage events, sudden damage events, and cracks and flaws.

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Modal identification based on Hilbert-Huang Transform of structural response with SVD preprocessing

Cited by 17 publications

References 17 publications

Re-tuning tuned mass dampers using ambient vibration measurements

Re-tuning tuned mass dampers using ambient vibration measurements

Time–frequency analysis and applications in time-varying/nonlinear structural systems: A state-of-the-art review

Application of Hilbert-Huang Transform in Structural Health Monitoring: A State-of-the-Art Review

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