Resource Type

Journal Article 97

Year

2023 6

2022 4

2021 6

2020 8

2019 6

2018 4

2017 8

2016 4

2015 4

2014 3

2013 2

2012 3

2011 2

2010 3

2009 4

2008 7

2007 1

2006 7

2005 2

2004 3

open ︾

Keywords

wavelet analysis 4

Copyright protection 2

acoustic emission 2

fault diagnosis 2

index decomposition analysis 2

wavelet 2

Air traffic management 1

Audio watermarking 1

B-spline 1

Benders decomposition 1

Bent function 1

Bi-directional gated recurrent unit (BiGRU) 1

Boolean control networks 1

CECE method 1

CFB boiler 1

CO coupling 1

CO2 decomposition 1

CO2 emission 1

CO2 emissions 1

open ︾

Search scope:

排序： Display mode:

De-noising of diesel vibration signal using wavelet packet and singular value decomposition

DUAN Li-xiang, ZHANG Lai-bin, WANG Zhao-hui

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 443-447 doi: 10.1007/s11465-006-0055-6

Abstract: Firstly, the effects of vibration-signal de-noising among Fourier transform, wavelet decomposition andwavelet packet decomposition are compared.Secondly, singular value decomposition is applied to de-noising vibration signals.In this method, vibration signals are decomposed by wavelet packet, and the wavelet packet coefficientis de-noised by singular value decomposition again.

Keywords： coefficient     de-noised     cylinder     signal-to-noise     wavelet decomposition    

HTML PDF Collect

Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 277-286 doi: 10.1007/s11465-015-0348-8

Abstract: The vibration signal’s condition parameters are first extracted by applying the wavelet packetdecomposition with multiple mother wavelets, and the coefficients’ energy content for terminal

Keywords： fault diagnosis     spur gearbox     wavelet packet decomposition     random forest    

HTML PDF Collect

Online Monitoring of Welding Status Based on a DBN Model During Laser Welding Article

Yanxi Zhang, Deyong You, Xiangdong Gao, Seiji Katayama

Engineering 2019, Volume 5, Issue 4,   Pages 671-678 doi: 10.1016/j.eng.2019.01.016

Abstract: laser light signal are extracted by decomposing the original signal captured by the photodiode via the waveletpacket decomposition (WPD) method.

Keywords： Online monitoring     Multiple sensors     Wavelet packet decomposition     Deep belief network    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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: this purpose, the performances of envelope detection with fast Fourier transform (FFT) and continuous waveletFrequency 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    

HTML PDF Collect

.: 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    

HTML PDF Collect

Decomposition analysis applied to energy and emissions: A literature review

Frontiers of Engineering Management   Pages 625-639 doi: 10.1007/s42524-023-0270-4

Abstract: Decomposition analysis has been widely used to assess the determinants of energy and CO2 emissionsBoth the methodology and application of decomposition analysis have been largely improved in the pastAfter more than 50 years’ developments, decomposition studies have become increasingly sophisticatedemerging trends and features for the decomposition analysis literature as a whole.The findings are expected to direct future research in decomposition analysis.

Keywords： index decomposition analysis     structural decomposition analysis     production decomposition analysis     energy    

HTML PDF Collect

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    

HTML PDF Collect

Catalytic decomposition of low level ozone with gold nanoparticles supported on activated carbon

Pengyi ZHANG , Bo ZHANG , Rui SHI ,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 3,   Pages 281-288 doi: 10.1007/s11783-009-0032-5

Abstract: sol immobilization method and were used to investigate their catalytic activity for low-level ozone decompositionX-ray photoelectron spectroscopy (XPS) were used to characterize the catalysts before and after ozone decompositionthose prepared with traditional conduction heating, exhibiting higher catalytic activity for ozone decompositiongold precursor solution significantly influenced the catalytic activity of supported gold for ozone decompositionAfter being used for ozone decomposition, the surface carbon of the catalyst was partly oxidized and

Keywords： ozone decomposition     activated carbon     gold nanoparticles     catalysis     sodium citrate     microwave    

HTML PDF Collect

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

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    

HTML PDF Collect

Product decomposition strategy for optimization of supply chain planning

Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 466-478 doi: 10.15302/J-FEM-2018059

Abstract:

Optimization of large-scale supply chain planning models requires the application of decompositionTwo major options are to use either spatial or temporal Lagrangean decomposition.In this paper, to further reduce the computational expense a novel decomposition scheme by products isThe decomposition is based on a reformulation of knapsack constraints in the problem.The new approach allows for simultaneous decomposition by products and by time periods, enabling the

Keywords： supply chain planning     Lagrangean decomposition     mixed-integer programming    

HTML PDF Collect

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

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    

HTML PDF Collect

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting.

Keywords： Short-term water demand forecasting     Long-short term memory neural network     Convolutional Neural Network     Wavelet    

HTML PDF Collect

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isThe results of the present method are compared with those of the empirical mode decomposition-based method

Keywords： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

HTML PDF Collect

Title Author Date Type Operation

De-noising of diesel vibration signal using wavelet packet and singular value decomposition

DUAN Li-xiang, ZHANG Lai-bin, WANG Zhao-hui

Journal Article

Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ

Journal Article

Online Monitoring of Welding Status Based on a DBN Model During Laser Welding

Yanxi Zhang, Deyong You, Xiangdong Gao, Seiji Katayama

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

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

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Journal Article

.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Journal Article

Decomposition analysis applied to energy and emissions: A literature review

Journal Article

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Journal Article

Catalytic decomposition of low level ozone with gold nanoparticles supported on activated carbon

Pengyi ZHANG , Bo ZHANG , Rui SHI ,

Journal Article

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

Tae Un PAK; Guk Rae JO; Un Chol HAN

Journal Article

Product decomposition strategy for optimization of supply chain planning

Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN

Journal Article

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

HUANG Xinghua, WANG Li, JIA Feng

Journal Article

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article