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flow regime identification in horizontal tube bundles under vertical upward cross-flow condition using wavelettransform

HUANG Xinghua, WANG Li, JIA Feng

Frontiers in Energy 2008, Volume 2, Issue 3,   Pages 333-338 doi: 10.1007/s11708-008-0043-0

Abstract: A wavelet-transform based approach for flow regime identification in horizontal tube bundles under verticalTime series of differential pressure fluctuations were measured and analyzed with discrete wavelet transformThe wavelet energy distributions over scales were found to be appropriate for flow regime identificationBased on the wavelet energy distribution over characteristic scales, a criterion of flow regime identificationThe comparison with experiment results show that it is feasible to use the discrete wavelet transform

Keywords： two-phase     discrete     appropriate     wavelet-transform     criterion    

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Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 130-141 doi: 10.1007/s11465-014-0298-6

Abstract: For this purpose, the performances of envelope detection with fast Fourier transform (FFT) and continuouswavelet transform (CWT) of vibration signals produced from a bearing with defects on inner race andFrequency B spline wavelets have been applied for CWT and a discussion on wavelet selection has been

Keywords： Fault detection     spline wavelet     continuous wavelet transform     fast Fourier transform    

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A new acoustic emission source location technique based on wavelet transform and mode analysis

JIAO Jing-pin, HE Cun-fu, WU Bin, FEI Ren-yuan, WANG Xiu-yan

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 341-345 doi: 10.1007/s11465-006-0006-4

Abstract: Based on the wavelet transform and the theory of modal acoustic emission, a new method is proposed toThe wavelet transform is used to resolve the problem.By utilizing the time-frequency data of the wavelet, the frequency-dependent arrival time traveling is

Keywords： s propagation     frequency     emission signal     signal propagation     dispersive    

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Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 49-52

Abstract:

The theory of wavelet thresholding denoising is analyzed and applied to process the data measuredTheoretical analysis and emulation experiments indicate that wavelet thresholding denoising, adaptivewavelet thresholding denoising and adaptive Kalman filtering are all effective in alleviating the effectsof different noise, but the performance of adaptive wavelet thresholding denoising is best.

Keywords： gravimeter     signal processing     wavelet transform     adaptive wavelet threshold     adaptive Kalman     filering    

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The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Strategic Study of CAE 2003, Volume 5, Issue 4,   Pages 61-64

Abstract: Wavelet transform has the capacity for detecting local signal mutation and detects information usingThis paper analyzes the basic theory using two dimensions wavelet to detect image edges on the basisof wavelet transform and then designs the detecting algorithm of the multi-scale edge matching.

Keywords： wavelet transform     multi-scale     edges detection    

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Application of Wavelet Transform to Acoustic Radiation and Scattering

Wen Lihua,Ren Xingmin

Strategic Study of CAE 2002, Volume 4, Issue 8,   Pages 63-68

Abstract: In this paper, the new wavelet approaches have been presented for solving acoustic radiation and scatteringboundary quantities are expanded in terms of a basis of the orthogonal wavelets on the interval, and a waveletThen coupled wavelet spectral and finite element method is formulated for solving sound-structure interaction

At the end of the paper, the prospects of the application of wavelet analysis to numerical computation

Keywords： wavelet analysis     acoustic radiation and scattering     structural-acoustic coupling     frequency iteration    

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Study on the Wavelet Packet Transform Method for Fault Diagnosis of Five Roller Orientation Clutch

Hu Binliang,Luo Yixin,Xie Ming

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 66-68

Abstract:

The theory and method of wavelet packet decomposition and its energy spectrum dealing with the faultThe characteristic frequency band of the fault can be identified by wavelet packet decomposition and

Keywords： fault diagnosis     wavelet packet     energy spectrum     clutch    

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Cutting Forces in High-speed Face-milling of Difficult-to-cut Materials by AR Spectrum Analysis and Wavelet

Long Zhenhai,Wang Xibin,Wang Haochen

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 28-31

Abstract: Based on the analysis of cutting regimes, influences on milling force, the spectrum analysis and wavelet

Keywords： difficult-to-cut materials     high speed machining     factorials design     Meyer wavelet transform     Mallat algorithm    

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Experimental study of structural damage identification based on modal parameters and decay ratio of acceleration signals

Zhigen WU, Guohua LIU, Zihua ZHANG

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1,   Pages 112-120 doi: 10.1007/s11709-010-0069-3

Abstract: In addition, a new method was compared with the linear modal-based damage assessment using wavelet transform

Keywords： damage assessment     decay ratio of acceleration signals (DRAS)     wavelet transform (WT)     modal analysis     reinforced    

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Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 116-120 doi: 10.1007/s11708-008-0019-0

Abstract: A combustion instability detection method that uses the wavelet detail of combustion pressure fluctuationsDaubechies one-order wavelet is chosen to obtain the wavelet details for comparison.It shows that the wavelet approximation indicates the general pressure change in the furnace, and thewavelet detail magnitude is consistent with the intensity of turbulence and combustion noise.The magnitude of the wavelet detail is nearly constant when the combustion is stable, however, it will

Keywords： comparison     wavelet approximation     pressure transducer     general pressure     consistent    

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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: gear effectively, we propose a novel feature extraction method based on spectral kurtosis and time waveletFinally, the time wavelet energy spectrum analysis is performed on the filtered signal, selecting Morletwavelet as the mother wavelet which possesses a high similarity to the impulsive components.

Keywords： wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

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A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 883-891 doi: 10.1631/FITEE.1500071

Abstract: Karhunen-Loève transform (KLT) is the optimal transform that minimizes distortion at a given bit allocationthe ‘reversibility’ is modeled according to distortion analysis in using forward and inverse integer transformIt not only measures how invertible a transform is, but also bounds the distortion introduced by thenon-orthonormal integer transform process.The ‘gain’ means transform coding gain (TCG), which is a widely used criterion for transform design in

Keywords： Integer transform     Karhunen-Loè     ve transform (KLT)     Integer-KLT     Transform coding     Video coding    

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Using psychophysiologicalmeasures to recognize personalmusic emotional experience Research Articles

Le-kai ZHANG, Shou-qian SUN, Bai-xi XING, Rui-ming LUO, Ke-jun ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 964-974 doi: 10.1631/FITEE.1800101

Abstract:

Music can trigger human emotion. This is a psychophysiological process. Therefore, using psychophysiological characteristics could be a way to understand individual music emotional experience. In this study, we explore a new method of personal music emotion recognition based on human physiological characteristics. First, we build up a database of features based on emotions related to music and a database based on physiological signals derived from music listening including EDA, PPG, SKT, RSP, and PD variation information. Then linear regression, ridge regression, support vector machines with three different kernels, decision trees, k-nearest neighbors, multi-layer perceptron, and Nu support vector regression (NuSVR) are used to recognize music emotions via a data synthesis of music features and human physiological features. NuSVR outperforms the other methods. The correlation coefficient values are 0.7347 for arousal and 0.7902 for valence, while the mean squared errors are 0.023 23 for arousal and 0.014 85 for valence. Finally, we compare the different data sets and find that the data set with all the features (music features and all physiological features) has the best performance in modeling. The correlation coefficient values are 0.6499 for arousal and 0.7735 for valence, while the mean squared errors are 0.029 32 for arousal and 0.015 76 for valence. We provide an effective way to recognize personal music emotional experience, and the study can be applied to personalized music recommendation.

Keywords： Music     Emotion recognition     Physiological signals     Wavelet transform    

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.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 1-8 doi: 10.1007/s11708-013-0290-6

Abstract: complements the existing studies on the nexus between energy consumption and economic growth by employing the waveletTheir approach consists of first decomposing the series into time scales by wavelet filters and testing

Keywords： energy consumption     economic growth     wavelet analysis     granger causality    

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Prediction of characteristic blast-induced vibration frequency during underground excavation by using wavelettransform

Tae Un PAK; Guk Rae JO; Un Chol HAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 1029-1039 doi: 10.1007/s11709-022-0861-x

Abstract: Then, wavelet analysis on the measured results was carried out to identify frequency bands reflecting

Keywords： wavelet analysis     blast-induced vibration     frequency characteristics     underground excavation    

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Title Author Date Type Operation

flow regime identification in horizontal tube bundles under vertical upward cross-flow condition using wavelettransform

HUANG Xinghua, WANG Li, JIA Feng

Journal Article

Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Journal Article

A new acoustic emission source location technique based on wavelet transform and mode analysis

JIAO Jing-pin, HE Cun-fu, WU Bin, FEI Ren-yuan, WANG Xiu-yan

Journal Article

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Journal Article

The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Journal Article

Application of Wavelet Transform to Acoustic Radiation and Scattering

Wen Lihua,Ren Xingmin

Journal Article

Study on the Wavelet Packet Transform Method for Fault Diagnosis of Five Roller Orientation Clutch

Hu Binliang,Luo Yixin,Xie Ming

Journal Article

Cutting Forces in High-speed Face-milling of Difficult-to-cut Materials by AR Spectrum Analysis and Wavelet

Long Zhenhai,Wang Xibin,Wang Haochen

Journal Article

Experimental study of structural damage identification based on modal parameters and decay ratio of acceleration signals

Zhigen WU, Guohua LIU, Zihua ZHANG

Journal Article

Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Journal Article

Using psychophysiologicalmeasures to recognize personalmusic emotional experience

Le-kai ZHANG, Shou-qian SUN, Bai-xi XING, Rui-ming LUO, Ke-jun ZHANG

Journal Article

.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Journal Article

Prediction of characteristic blast-induced vibration frequency during underground excavation by using wavelettransform

Tae Un PAK; Guk Rae JO; Un Chol HAN

Journal Article