Journal ArticleDOI
Structural system identification based on variational mode decomposition
TLDR
A new structural identification method is proposed to identify the modal properties of engineering structures based on dynamic response decomposition using the variational mode decomposition (VMD), which decomposes the acceleration signal into a series of distinct modal responses and their respective center frequencies.About:
This article is published in Journal of Sound and Vibration.The article was published on 2018-03-17. It has received 81 citations till now. The article focuses on the topics: Modal analysis & Modal.read more
Citations
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Journal ArticleDOI
Initial center frequency-guided VMD for fault diagnosis of rotating machines
TL;DR: The variation features of the center frequency (CF) of extracted modes are investigated with different ICFs, in which the converging U-shape phenomenon is found and a novel ICF-guided VMD method is proposed to extract accurately the weak damage features of rotating machines.
Journal ArticleDOI
A modified scale-space guiding variational mode decomposition for high-speed railway bearing fault diagnosis
TL;DR: A modified scale-space VMD is proposed to estimate the number of instinct mode functions (IMFs) and optimize some other parameters of VMD in advance by applying scale- space representation to have a prior understand of the analysed signal and derive the parameters.
Journal ArticleDOI
A new fault diagnosis method based on adaptive spectrum mode extraction
TL;DR: An adaptive spectrum mode extraction method for variational mode decomposition is proposed, which shows that the proposed method is more advantageous for the fault feature extraction of rolling bearings.
Journal ArticleDOI
A Comparative Analysis of Signal Decomposition Techniques for Structural Health Monitoring on an Experimental Benchmark
Marco Civera,Cecilia Surace +1 more
TL;DR: In this article, a shortlist of three well-established signal decomposition algorithms has been selected for an in-depth analysis, namely, empirical mode decomposition (EMD), Hilbert Vibration Decomposition (HVD), and the Variational Mode Decompposition (VMD), and compared with a numerical case study and a well-known experimental benchmark.
Journal ArticleDOI
The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm
TL;DR: New two-stage ensemble models by combining empirical mode decomposition (EMD), extreme learning machine (ELM) and improved harmony search (IHS) algorithm for stock price prediction are proposed, which have superior performance in terms of its accuracy and stability as compared to the other models.
References
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Journal ArticleDOI
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Norden E. Huang,Zheng Shen,Steven R. Long,Man-Li C. Wu,Hsing H. Shih,Quanan Zheng,Nai-Chyuan Yen,C. C. Tung,Henry H. Liu +8 more
TL;DR: In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.
Journal ArticleDOI
Variational Mode Decomposition
TL;DR: This work proposes an entirely non-recursive variational mode decomposition model, where the modes are extracted concurrently and is a generalization of the classic Wiener filter into multiple, adaptive bands.
Journal ArticleDOI
The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
TL;DR: The Navier-Stokes equations are well-known to be a good model for turbulence as discussed by the authors, and the results of well over a century of increasingly sophisticated experiments are available at our disposal.
ReportDOI
Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review
TL;DR: A review of the technical literature concerning the detection, location, and characterization of structural damage via techniques that examine changes in measured structural vibration response is presented in this article, where the authors categorize the methods according to required measured data and analysis technique.