Results 41 to 50 of about 98,906 (246)
Nonlinear analysis of the electroencephalogram in depth of anesthesia
Revista Facultad de Ingeniería Universidad de Antioquia, 2015 Digital signal processing of the electroencephalogram (EEG) became important in monitoring depth of anesthesia (DoA) being used to provide a better anesthetic technique.
Oscar Leonardo Mosquera-Dusan +3 more
doaj +1 more source
A new mechanical structural damage feature index based on HHT [PDF]
, 2018 A new damage feature index is presented for the structural health monitoring based on Hilbert-Huang transform (HHT). The energy marginal spectrum of the dynamic signal is used to construct damage characteristic parameter, which can reflect the signal ...
Hua, Lin, Wang, Fusheng, Yue, Zhufeng
core +3 more sources
Milling gate vibrations analysis via Hilbert-Huang transform
ITM Web of Conferences, 2017 The study aimed at identification of the milling gate modal parameters: natural frequencies and mode shapes, in order to establish the working range free from resonant areas.
Litak Grzegorz +2 more
doaj +1 more source
Pulse Signal Analysis Method Based on Improved HHT [PDF]
Jisuanji gongcheng, 2019 The traditional Hilbert-Huang Transform(HHT) has low accuracy in Empirical Mode Decomposition(EMD) when processing pulse signals,and there are mode mixing problems.In response to this problem,this paper proposes an improved HHT method.Combined with Time ...
KUANG Xue, LI Zhi, WANG Yongjun, ZHANG Shaorong
doaj +1 more source
Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions [PDF]
, 2011 Signal processing is an important tool for diagnostics of mechanical systems. Many different techniques are available to process experimental signals, among others: FFT, wavelet transform, cepstrum, demodulation analysis, second order ciclostationarity ...
P. Pennacchi, R. Ricci
core +1 more source
Quantitative Identification of Pulse-Like Ground Motions Based on Hilbert–Huang Transform
Shock and Vibration, 2021 Aiming to address the problem of pulse-like ground motions being difficult to identify, this paper refines the Baker’s wavelet-based pulse-like ground motions identification method, followed by a new pulse-like ground motion identification method based ...
Zhen Liu
doaj +1 more source
Hilbert-Huang Transform-based Local Regions Descriptors [PDF]
Procedings of the British Machine Vision Conference 2007, 2007 This paper presents a new interest local regions descriptors method based on Hilbert-Huang Transform. The neighborhood of the interest local region is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs). Then the Hilbert transform is applied to each component and get the phase and amplitude information. The proposed
D. Han, W. Li, W. Guo, Z. Li
openaire +1 more source
Characterization of non-linear bearings using the Hilbert–Huang transform
Advances in Mechanical Engineering, 2015 Changes in the performance of bearings can significantly vary the distribution of internal forces and moments in a structure as a result of environmental or operational loads.
Arturo González, Hussein Aied
doaj +1 more source
Structural Control & Health MonitoringA novel methodology for the characterisation of the nonlinear behaviour of post-tensioned r.c. bridges, which exploits the response to heavy traffic travelling during operational conditions, is presented.
F. Scozzese, A. Dall’Asta
semanticscholar +1 more source
Time-Frequency Analysis of Scalp EEG With Hilbert-Huang Transform and Deep Learning
IEEE journal of biomedical and health informatics, 2021 Electroencephalography (EEG) is a brain imaging approach that has been widely used in neuroscience and clinical settings. The conventional EEG analyses usually require pre-defined frequency bands when characterizing neural oscillations and extracting ...
Jingyi Zheng +6 more
semanticscholar +1 more source