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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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A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 338-347 doi: 10.15302/J-FEM-2017032

Abstract: Deterministic equivalent model with nonanticipativity constraints, branch-and-fix coordination, sample average approximation

Keywords： supply chain network     stochastic demand     sampling average approximation     Bayesian bootstrap     Latin hypercube    

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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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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    

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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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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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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    

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Shape reconstruction of parallelogram flaw

ZHENG Gangfeng, WU Bin, HE Cunfu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 17-22 doi: 10.1007/s11465-008-0015-4

Abstract: To reconstruct the shape of the scatterer in elastic media, the authors deduce the Born approximationidentification of the geometrical character of a flaw is then given by the two dimensional inverse Born approximation

Keywords： approximation     scatterer     scattering problem     information     inverse    

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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 packet

Keywords： fault diagnosis     spur gearbox     wavelet packet decomposition     random forest    

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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.Finally, a new de-noise method integrated with wavelet packet and singular value is presented.In this method, vibration signals are decomposed by wavelet packet, and the wavelet packet coefficient

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

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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    

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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    

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Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 75-90 doi: 10.1007/s11708-014-0337-3

Abstract: In this paper, a passive neuro-wavelet based islanding detection technique for grid-connected inverter-basedThe proposed method utilizes and combines wavelet analysis and artificial neural network (ANN) to detectDiscrete wavelet transform (DWT) is capable of decomposing the signals into different frequency bands

Keywords： islanding detection     neuro-wavelet     intelligent water drop (IWD)     non-detection zone (NDZ)     distributed generation    

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Approximation Space of Generalization and Rough Classification Algebra

Liu Yonghong

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 39-48

Abstract:

Some new basic concepts are proposed in this paper, including the approximation space of generalization, rough approximation axiom, disturbance set axiom, classification principle of rough set, principle

Keywords： approximation space of generalization     rough set     rough classification algebra     protocol relation     rough    

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Galerkin approximationwith Legendre polynomials for a continuous-time nonlinear optimal control problem Article

Xue-song CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1479-1487 doi: 10.1631/FITEE.1601101

Abstract: We investigate the use of an approximation method for obtaining near-optimal solutions to a kind of nonlinearThe approach derived from the Galerkin approximation is used to solve the generalized Hamilton-Jacobi-BellmanThe Galerkin approximation with Legendre polynomials (GALP) for GHJB equations has not been applied to

Keywords： Generalized Hamilton-Jacobi-Bellman equation     Nonlinear optimal control     Galerkin approximation     Legendre    

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Title Author Date Type Operation

Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Journal Article

A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

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

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

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

Shape reconstruction of parallelogram flaw

ZHENG Gangfeng, WU Bin, HE Cunfu

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

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

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

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

Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

Journal Article

Approximation Space of Generalization and Rough Classification Algebra

Liu Yonghong

Journal Article

Galerkin approximationwith Legendre polynomials for a continuous-time nonlinear optimal control problem

Xue-song CHEN

Journal Article