Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 1943

Conference Videos 37

Conference Information 2

Year

2024 3

2023 101

2022 170

2021 141

2020 107

2019 132

2018 114

2017 108

2016 88

2015 117

2014 91

2013 76

2012 91

2011 76

2010 81

2009 52

2008 92

2007 99

2006 56

2005 29

open ︾

Keywords

finite element analysis 29

sensitivity analysis 25

multi-objective optimization 22

analysis 17

numerical analysis 17

simulation 13

risk analysis 12

China 11

dynamic analysis 11

meta-analysis 11

Multi-agent systems 10

optimization 10

artificial neural network 9

different 9

finite element method 9

Multi-agent system 8

correlation analysis 6

isogeometric analysis 6

numerical simulation 6

open ︾

Search scope:

排序： Display mode:

Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 224-227 doi: 10.1007/s11465-009-0017-x

Abstract: An algorithm is presented for detecting transverse corner cracks at a steel plate surface using waveletAccording to characteristics of transverse corner crack images, the wavelet transform is used for themulti-scale analysis of detecting the image edges and disintegrating the image into four directions

Keywords： transverse corner cracks defect detection multi-scales wavelet analysis

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 Waveletmulti-resolution analysis Data-driven models

HTML PDF Collect

Analysis of catchment evapotranspiration at different scales using bottom-up and top-down approaches

Xiangyu XU, Dawen YANG,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1, Pages 65-77 doi: 10.1007/s11709-010-0002-9

Abstract: catchment water balance through detailed simulation of hydrological processes at small temporal and spatial scalesconceptual models can help us understand the dominant factors on catchment water balance at different scalesFrom the analysis at different time scales through comparison of the top-down and the bottom-up methodsand catchment scale but can be simplified to a linear relationship at hourly temporal and hillslope scales

Keywords： catchment evapotranspiration distributed hydrological model water-energy balance model top-down and bottom-up approaches

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: dynamic causal relationship between energy consumption and economic growth in the U.S. at different time scalescomplements 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 testingThe main empirical insight is that the causal relationship is stronger at finer time scales, whereasHowever, at coarser scales feedback is observed.

Keywords： energy consumption economic growth wavelet analysis granger causality

HTML PDF Collect

Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-FactorAnalysis and a Multi-Model Ensemble Article

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Engineering 2021, Volume 7, Issue 12, Pages 1751-1765 doi: 10.1016/j.eng.2020.10.023

Abstract: In this paper, a new DO hybrid forecasting model is proposed that includes three stages: multi-factoranalysis, adaptive decomposition, and an optimization-based ensemble.salinity, and oxygen saturation are decomposed adaptively into sub-series by means of the empirical waveletFinally, a multi-factor ensemble model for DO is obtained by weighted allocation.Example analysis demonstrates that: ① the proposed model can obtain excellent DO forecasting results;

Keywords： Dissolved oxygen concentrations forecasting Time-series multi-step forecasting Multi-factor analysis Empirical wavelet transform decomposition Multi-model optimization ensemble

HTML PDF Collect

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

HTML PDF Collect

A Method for License Plate Localization based on Texture and Wavelet Analysis

Huang Wei,Lu Xiaobo,Yu Yanxiang,Ling Xiaojing

Strategic Study of CAE 2004, Volume 6, Issue 3, Pages 19-24

Abstract:

This paper presents a method for vehicle license plate localization using texture and wavelet analysisto the distribution regularities of the characters in the license plate, a binary texture primitive analysisA feature of the vertical strokes in the license plate is extracted using wavelet analysis.

Keywords： texture wavelet analysis primitive license plate localization

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 reflectingFrom analysis of results, it can be found that peak velocity and energy of blasting vibration in frequency

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

HTML PDF Collect

Analysis on the Machined Surface Profile Error Using Fractals and Wavelet

Liao Xiaoyun,Tang Qian,Zhao Ying,Zheng Shize

Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 75-78

Abstract:

An analysis method based on fractals and wavelet for machined surface profile error was presented.details, and reconstruct the surface profile for doing some related work, such as performance-tolerance analysisThe fractal dimension algorithms, the analysis and reconstruction algorithms of surface profile based

Keywords： machining machined error analysis fractal geometry wavelet analysis

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

Wavelet Analysis of a Sort of Multidimension Stochastic System

Xia Xuewen

Strategic Study of CAE 2004, Volume 6, Issue 11, Pages 43-46

Abstract: " src="/views/uploadfiles/png/b9e410ef3fe14041a300eca2d8253b69.png" width="374" />is studied, using waveletanalysis and its average power, density degree and wavelet expansion and corelation of expansion coefficient

Keywords： stochastic system density degree wavelet expansion average power corelation

HTML PDF Collect

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

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 waveletsimulated and experimental signals from identical bearings have been considered for the purpose of analysisFrequency 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

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

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 waveletanalysis are applied on the random cutting force signals.

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

HTML PDF Collect

Title Author Date Type Operation

Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN

Journal Article

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

Journal Article

Analysis of catchment evapotranspiration at different scales using bottom-up and top-down approaches

Xiangyu XU, Dawen YANG,

Journal Article

.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Journal Article

Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-FactorAnalysis and a Multi-Model Ensemble

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Journal Article

A Method for License Plate Localization based on Texture and Wavelet Analysis

Huang Wei,Lu Xiaobo,Yu Yanxiang,Ling Xiaojing

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

Analysis on the Machined Surface Profile Error Using Fractals and Wavelet