Resource Type

Journal Article 1371

Conference Videos 69

Conference Information 4

Conference Topics 1

Year

2024 47

2023 129

2022 168

2021 129

2020 108

2019 89

2018 89

2017 67

2016 49

2015 75

2014 46

2013 51

2012 45

2011 61

2010 43

2009 41

2008 36

2007 30

2006 34

2005 17

open ︾

Keywords

renewable energy 29

energy 28

energy consumption 24

solar energy 22

energy efficiency 19

energy security 17

energy saving 16

China 14

energy revolution 14

energy transition 11

sustainable development 10

Energy consumption 9

energy dissipation 8

Energy 6

carbon neutrality 6

climate change 6

development strategy 6

different 6

energy strategy 6

open ︾

Search scope:

排序： Display mode:

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

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: Owing to the complicated and coupled vibration source, time-variant vibration transfer path, and heavyplanet gear effectively, we propose a novel feature extraction method based on spectral kurtosis and timewavelet energy spectrum (SK-TWES) in the paper.Finally, 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

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 andits energy spectrum conveniently.At the same time, quantification analysis is performed.

Keywords： fault diagnosis     wavelet packet     energy spectrum     clutch    

HTML PDF Collect

Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment plants

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 128-136 doi: 10.1007/s11783-013-0598-9

Abstract: the periodicity of the influent flow rate and ammonia (NH ) concentrations: 1) data filtering using waveletdecomposition and reconstruction; 2) typical cycle identification using power spectrum density analysisTo give meaningful information for feedforward control systems, predictions in different time scalesperiodicity, the decreasing of prediction accuracy is not distinct with increasing of the prediction time

Keywords： influent load prediction     wavelet de-noising     power spectrum density     autoregressive model     time-frequency    

HTML PDF Collect

Causality between energy consumption and GDP in the U.S.: 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: in the U.S. at different time scales.consumption and economic growth by employing the wavelet transformation to obtain different time scalesTheir approach consists of first decomposing the series into time scales by wavelet filters and testingcausality of each time scale with the pertinent time scale of the other series separately.In particular, at intermediate time scales the evidence indicates that energy consumption causes economic

Keywords： energy consumption     economic growth     wavelet analysis     granger causality    

HTML PDF Collect

Nonlinear Characteristics of Cutting Forces in High-speed Face-milling of Difficult-to-cut Materials by AR SpectrumAnalysis and 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 wavelet

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

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

Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 595-614 doi: 10.1007/s42524-021-0173-1

Abstract: Train speed profile optimization is an efficient approach to reducing energy consumption in urban railexisting studies that assume deterministic parameters as model inputs, this paper proposes a robust energy-efficientSpecifically, we first construct a scenario-based position–time–speed (PTS) network by considering resistancereliability model is proposed to generate a robust train speed profile, by which the scenario-based energy

Keywords： robust train speed profile     percentile reliability model     scenario-based position–time–speed network    

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

Influence of envelope insulation materials on building energy consumption

Junlan YANG, Jiabao TANG

Frontiers in Energy 2017, Volume 11, Issue 4,   Pages 575-581 doi: 10.1007/s11708-017-0473-7

Abstract: In this paper, the influence of different external wall insulation materials on the energy consumptionAn energy analysis model is established to clarify the primary energy use for production of the insulationThe calculation results show that the energy consumption for insulation material production increasesThe energy payback time (EPT) is proposed to calculate the payback time of the primary energy use forMineral fiber has the shortest time, followed by polyurethane and vacuum insulation panel.

Keywords： building envelope     insulation materials     energy consumption     payback time    

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

Solar fuel from photo-thermal catalytic reactions with spectrum-selectivity: a review

Sanli TANG, Jie SUN, Hui HONG, Qibin LIU

Frontiers in Energy 2017, Volume 11, Issue 4,   Pages 437-451 doi: 10.1007/s11708-017-0509-z

Abstract: Solar fuel is one of the ideal energy sources in the future.This paper reviews different approaches for solar fuel production from spectrum-selective photo-thermalThe review begins with the meaning of synergetic effects, and the mechanisms of spectrum-selectivityIn addition, these works are summarized and tabulated based on the operating conditions, spectrum-selectivitydiscussion is finally presented concerning future development of photo-thermal catalytic reactions with spectrum-selectivity

Keywords： photo-thermal catalysis     spectrum-selectivity     solar fuel     full-spectrum    

HTML PDF Collect

Mirror system based therapy for autism spectrum disorders

CHEN Wei, ZHANG Jing, DING Jun

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 344-347 doi: 10.1007/s11684-008-0065-3

Abstract: autisms’ cognitive research and mirror systems and introduces a new hypothesis about the causes of autism spectrum

Keywords： emotional cognition     observation     activation     spectrum     empirical research    

HTML PDF Collect

Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 487-498 doi: 10.15302/J-FEM-2018042

Abstract:

This study investigates an energy-aware flow shop scheduling problem with a time-dependent learningproposed scheduling problem is shown and objective is to determine a job sequence in which the total energyA worst-case analysis on shortest process time heuristic is conducted for theoretical measurement.

Keywords： flow shop     energy-aware scheduling     learning effect     nested partition     worst-case error bound    

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 reflectingchanges of blasting vibration parameters such as vibration velocity and energy in different frequencyFrom 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

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

Title Author Date Type Operation

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

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

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

Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment plants

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Journal Article

Causality between energy consumption and GDP in the U.S.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Journal Article

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

Long Zhenhai,Wang Xibin,Wang Haochen

Journal Article

Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Journal Article

Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

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

Influence of envelope insulation materials on building energy consumption

Junlan YANG, Jiabao TANG

Journal Article

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Journal Article

Solar fuel from photo-thermal catalytic reactions with spectrum-selectivity: a review

Sanli TANG, Jie SUN, Hui HONG, Qibin LIU

Journal Article

Mirror system based therapy for autism spectrum disorders

CHEN Wei, ZHANG Jing, DING Jun

Journal Article

Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan 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

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