Operational modal analysis under harmonic excitation using Ramanujan subspace projection and stochastic subspace identification

Article Acoustics

Output-only modal identification based on the variational mode decomposition (VMD) framework

Shuaishuai Liu et al.

Summary: This paper proposes a novel modal identification variational mode decomposition (MIVMD) method for accurately and efficiently identifying natural frequencies, mode shapes, and modal responses from multivariate signals.

JOURNAL OF SOUND AND VIBRATION (2022)

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Article Engineering, Marine

Dynamic response analysis of a real-world operating offshore wind turbine under earthquake excitations

Mingqiang Xu et al.

Summary: This paper investigates the dynamic response of a monopile offshore wind turbine under earthquake excitations and presents some unexpected findings, such as the earthquake allowing the identification of high-frequency bending and twisting modes and a possible increase in the first frequency of the wind turbine.

OCEAN ENGINEERING (2022)

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Article Acoustics

An Adaptive Graph Morlet Wavelet Transform for Railway Wayside Acoustic Detection

Dingcheng Zhang et al.

Summary: A novel method called adaptive graph Morlet wavelet transform (AGMWT) is proposed for fault feature extraction in railway wayside acoustic detection. The method involves transforming acoustic signals into horizontal visibility graphs, conducting inner product operations, and applying adaptive wavelet threshold and shrinkage strategy. The proposed method has been verified to have better denoising ability than other methods through simulation, laboratory, and field experiments.

JOURNAL OF SOUND AND VIBRATION (2022)

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Article Engineering, Marine

Damage detection of wind turbine blades by Bayesian multivariate cointegration

Mingqiang Xu et al.

Summary: This study introduces a Bayesian cointegration approach for damage detection in wind turbine blades, which can effectively eliminate the influence of environmental variations and accurately detect structural degradation.

OCEAN ENGINEERING (2022)

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Review Acoustics

Review on the new development of vibration-based damage identification for civil engineering structures: 2010-2019

Rongrong Hou et al.

Summary: This article reviews the progress in vibration-based damage identification methods over the past 10 years, classifying them by different damage indices and analytical/numerical techniques, discussing their advantages and disadvantages, and summarizing the challenges and future research directions in vibration-based damage identification.

JOURNAL OF SOUND AND VIBRATION (2021)

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Article Engineering, Mechanical

Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation

Szymon Gres et al.

Summary: In this study, a subspace identification method is developed to estimate structural parameters while rejecting the influence of periodic input. The periodic information is estimated with a non-steady state Kalman filter and removed from the original output signal by an orthogonal projection, resulting in consistent estimation of the modes of the structural system.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

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Article Acoustics

A new SVD-based filtering technique for operational modal analysis in the presence of harmonic excitation and noise

Amirali Sadeqi et al.

Summary: The paper introduces a time-domain filtering technique based on singular value decomposition for eliminating excitation/noise in operational modal analysis. The technique selects and explores components from the decomposed vibrational response, removes those associated with steady-state response and noise, and uses the transient response for identifying modal parameters. The effectiveness of the technique is demonstrated through numerical and experimental case studies, showing its capability to eliminate noise and excitation harmonics and reconstruct vibration signals.

JOURNAL OF SOUND AND VIBRATION (2021)

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Article Acoustics

Output-only modal parameter identification of structures by vision modal analysis

Zhong-Rong Lu et al.

Summary: This paper presents a vision modal analysis framework for modal parameter identification of structures using vision measurement. The framework utilizes optical flow theory to derive vision data from vibrating structure pixels, and then identifies vision modal parameters through frequency domain decomposition, recovering structural mode shapes from vision modal shapes through motion extraction. Feasibility and accuracy are demonstrated through numerical examples and an experimental case study.

JOURNAL OF SOUND AND VIBRATION (2021)

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Article Acoustics

Extended Empirical Wavelet Transformation: Application to structural updating

Ali Karimpour et al.

Summary: Accurately determining both global and local modal information is crucial in structural model updating processes. The Extended Empirical Wavelet Transformation (EEWT) method proposed in this study allows for accurate extraction of modal information under transient excitations. Experimental implementation of the EEWT method in two problems demonstrated its effectiveness in identifying structural properties and boundary coefficients.

JOURNAL OF SOUND AND VIBRATION (2021)

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Article Acoustics