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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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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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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoning

Keywords： advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning    

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: ., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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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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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy

Keywords： electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization    

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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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Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary

Keywords： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

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Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 111-122 doi: 10.1007/s11709-016-0354-x

Abstract: In this research, discharge coefficient of weir-gate was predicated using adaptive neuro fuzzy inference

Keywords： weir-gate     soft computing     crest geometry     circular crest weir     cylindrical shape    

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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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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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Title Author Date Type Operation

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

Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Journal Article

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy

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

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

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

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

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

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