Synchrosqueezed wavelet transform for damping identification

Mihalec, Marko; Slavič, Janko; Boltežar, Miha

doi:10.1016/j.ymssp.2016.05.005

Cited by 42 publications

(15 citation statements)

References 24 publications

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“…Also, thresholding of the wavelet coefficients is part of the SSWT implementation process, which aids in removal of additive Gaussian noise. The SSWT has recently been used for various applications such as the analysis of seismic signals [24,25], paleoclimate records and incoming solar radiation (insolation) [23] and damping identification in a vibration system [26]. In the context of ECG signals, it has been used for obtaining breathing dynamics from ECG signals [27] and for diagnosis of paroxysmal atrioventricular block using the ECG [28].…”

Section: Introductionmentioning

confidence: 99%

QRS Complex Detection in ECG Signals Using the Synchrosqueezed Wavelet Transform

Sharma

2016

IETE Journal of Research

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The QRS complex is the most distinctive feature in an electrocardiogram (ECG) signal. Therefore, its detection serves as the starting point for various applications, such as detection of other waves and segments, heart-rate calculation, derivation of respiration, etc. In this paper, a novel technique for QRS detection is proposed. The technique is based on the recently proposed synchrosqueezed wavelet transform (SSWT), which is obtained by application of a post-processing technique known as synchrosqueezing to the continuous wavelet transform. Following SSWT, various other processing steps are applied, including a nonlinear mapping technique, which is novel in the context of QRS detection, to finally detect the R-peaks. The proposed algorithm is evaluated on the MIT-BIH arrhythmia database and overall sensitivity, positive predictivity and error rate obtained are 99.92%, 99.93%, and 0.15%, respectively.

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Section: Introductionmentioning

confidence: 99%

QRS Complex Detection in ECG Signals Using the Synchrosqueezed Wavelet Transform

Sharma

2016

IETE Journal of Research

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“…Recently, applications of time-frequency domain methods have become more frequent and widespread than time-domain and frequency-domain methods [ 107 ]. These methods detect damping through common temporal and frequency characteristics of the responses of the vibrating structures resulting from the analysis using time-frequency methods [ 108 , 109 ]. Several methods have recently been presented to perform time-frequency analysis [ 110 , 111 , 112 ].…”

Section: Nonlinear Damping Identification Methodsmentioning

confidence: 99%

A Critical Review of Nonlinear Damping Identification in Structural Dynamics: Methods, Applications, and Challenges

Al-hababi

Cao

Saleh

et al. 2020

Sensors

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In recent decades, nonlinear damping identification (NDI) in structural dynamics has attracted wide research interests and intensive studies. Different NDI strategies, from conventional to more advanced, have been developed for a variety of structural types. With apparent advantages over classical linear methods, these strategies are able to quantify the nonlinear damping characteristics, providing powerful tools for the analysis and design of complex engineering structures. Since the current trend in many applications tends to more advanced and sophisticated applications, it is of great necessity to work on developing these methods to keep pace with this progress. Moreover, NDI can provide an effective and promising tool for structural damage detection purposes, where the changes in the dynamic features of structures can be correlated with damage levels. This review paper provides an overview of NDI methods by explaining the fundamental challenges and potentials of these methods based on the available literature. Furthermore, this research offers a comprehensive survey of different applications and future research trends of NDI. For potential development and application work for nonlinear damping methods, the anticipated results and recommendations of the current paper can assist researchers and developers worldwide to find out the gaps and unsolved issues in the field of NDI.

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“…Unlike the CWT, the SWT is capable of showing the lowamplitude and high-frequency components of a signal more efficiently and performing an inverse transformation without any loss. The resolution of the SWT, however, remains unsatisfactory [30,41,42].…”

Section: Signal Processing: Synchrosqueezed Transformmentioning

confidence: 99%

“…Also, the study of time series from chaotic systems and other mechanical systems has been successfully performed through the SWT, as presented by Varanis et al [33] and Wang et al [34]. Among the already-mentioned uses of synchrosqueezed transforms, they have also been satisfactorily applied in several other applications, such as the improvement in damping identification in structures [35], the characterization of the rub-impact phenomenon in rotating machinery in the frequency domain [36], and machine fault diagnosis in gearbox and wind turbines [34,37].…”

Section: Introductionmentioning

confidence: 99%

Numerical and experimental investigation of the dynamic behavior of a cantilever beam driven by two non-ideal sources

Varanis

Mereles

Silva

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Non-ideal energy sources are present in several engineering applications where the power source interacts with the dynamics of the structure to which it is coupled. The systems driven by this kind of source present a rich dynamic behavior and some phenomena that can only be observed under non-ideal consideration. The modeling of such systems becomes much more complex due to the interaction between the system and the energy source, requiring an additional equation. The present work proposes a continuous vibration model of a cantilever beam with two unbalanced DC motors. The motors are considered non-ideal energy sources. The advantage of the continuous approach is that the position of the motors can be easily varied. In addition, time-frequency methods are performed in order to characterize and identify the occurrence of the Sommerfeld effect on the non-stationary operation. In order to validate the model, experimental measurements were performed and, subsequently, compared with the numerical results.

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Synchrosqueezed wavelet transform for damping identification

Cited by 42 publications

References 24 publications

QRS Complex Detection in ECG Signals Using the Synchrosqueezed Wavelet Transform

QRS Complex Detection in ECG Signals Using the Synchrosqueezed Wavelet Transform

A Critical Review of Nonlinear Damping Identification in Structural Dynamics: Methods, Applications, and Challenges

Numerical and experimental investigation of the dynamic behavior of a cantilever beam driven by two non-ideal sources

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