Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3812-7
Abstract: Magnetic resonance imaging (MRI) has exhibited an outstanding performance in the track of medical imaging compared to several imaging modalities, such as X-ray, positron emission tomography and computed tomography. MRI modality suffers from protracted scanning… read more here.
Keywords: image; grey wolf; wavelet transform; empirical wavelet ... See more keywords
Cepstrum-assisted empirical wavelet transform (CEWT)-based improved demodulation analysis for fault diagnostics of planetary gearboxes
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109796
Abstract: Abstract Demodulation analysis is a widely used approach for fault diagnostics of planetary gearboxes by identifying the fault-induced modulation effect buried in noise with complicated characteristics. To enhance the performance of demodulation analysis, previous studies… read more here.
Keywords: demodulation analysis; empirical wavelet; analysis; fault ... See more keywords
Damage detection and localization of a steel truss bridge model subjected to impact and white noise excitations using empirical wavelet transform neural network approach
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.110060
Abstract: Abstract This paper aims to present a computational and experimental investigation on the performance of a new damage detection approach based on empirical wavelet transform (EWT) and an artificial neural network (ANN) named EWT-ANN to… read more here.
Keywords: neural network; empirical wavelet; damage; approach ... See more keywords
Morphological Filtering Enhanced Empirical Wavelet Transform for Mode Decomposition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2892764
Abstract: Empirical wavelet transform (EWT) has been successfully utilized for decomposing multi-component signals into intrinsic mode functions. However, it suffers from the spectrum subdividing problem when signals contain non-stationary components which overlap in both the time… read more here.
Keywords: wavelet transform; empirical wavelet; mode; morphological filtering ... See more keywords
Frequency Phase Space Empirical Wavelet Transform for Rolling Bearings Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922248
Abstract: As one of the most important components in rotating machinery, rolling bearings are fragile due to their harsh working environment. The empirical wavelet transform (EWT) method has been used to identify bearing faults by constructing… read more here.
Keywords: wavelet transform; empirical wavelet; frequency; fault ... See more keywords
Deep Learning-Based Earlier Detection of Esophageal Cancer Using Improved Empirical Wavelet Transform From Endoscopic Image
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3006106
Abstract: In the current scenario, the research perspective on esophageal cancer becomes severe, high-prognosis malignancy; poor prognosis is primarily attributed to the fact that most tumors remain asymptomatic and unrelated before it grows through the esophagus.… read more here.
Keywords: empirical wavelet; esophageal cancer; image; cancer ... See more keywords
Time-Varying Parameter Identification of Bridges Subject to Moving Vehicles Using Ridge Extraction Based on Empirical Wavelet Transform
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Structural Stability and Dynamics"
DOI: 10.1142/s0219455421500462
Abstract: Time-varying parameter identification of bridges subject to moving vehicles using ridge extraction based on empirical wavelet transform Jiantao Lia,b , Jian Guoa,* and Xinqun Zhub a Institute of Bridge Engineering, Zhejiang University of Technology, Hangzhou… read more here.
Keywords: time varying; bridge; time; wavelet transform ... See more keywords
RUL prediction of rolling bearings based on improved empirical wavelet transform and convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "Advances in Mechanical Engineering"
DOI: 10.1177/16878132221106609
Abstract: Accurate prediction the remaining useful life (RUL) of rolling bearings under complex environmental conditions is crucial for prognostics and health management (PHM). In this paper, A new method for rolling bearing RUL prediction based on… read more here.
Keywords: wavelet transform; prediction; rolling bearings; rul ... See more keywords
Fault Diagnosis of a Helical Gearbox Based on an Adaptive Empirical Wavelet Transform in Combination with a Spectral Subtraction Method
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9081696
Abstract: Fault characteristic extraction is attracting a great deal of attention from researchers for the fault diagnosis of rotating machinery. Generally, when a gearbox is damaged, accurate identification of the side-band features can be used to… read more here.
Keywords: wavelet transform; empirical wavelet; method; spectral subtraction ... See more keywords