Results 31 to 40 of about 5,816 (193)
Multivariate Nonlinear Sparse Mode Decomposition and Its Application in Gear Fault Diagnosis
IEEE Access, 2021 Multi-channel signal has more abundant and accurate state characteristic information than single channel signal. How to separate fault characteristic information from the multi-channel signal is the key of fault diagnosis.
Haiyang Pan +3 more
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Prognostic significance of ALCAM (CD166/MEMD) expression in cutaneous melanoma patients [PDF]
Diagnostic Pathology, 2015 ALCAM (activated leukocyte cell adhesion molecule, CD166, MEMD) is a transmembrane protein of immunoglobulin superfamily (Ig-SF) and plays an important role in human malignant melanoma progression and formation of locoregional and distant metastases. The study using melanoma cell lines showed that overexpression of ALCAM is directly related with the ...
Donizy, Piotr +5 more
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A novel method to identify the flow pattern of oil–water two-phase flow
Journal of Petroleum Exploration and Production Technology, 2020 This paper presents a novel method combining extreme learning machine (ELM) and multiple empirical mode decomposition (MEMD) to identify flow patterns of oil–water two-phase flow. The proposed method can recognize accurately five typical flow patterns of
Zhong-Cheng Li, Chun-Ling Fan
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A pedestal looseness fault diagnosis method based on NA-MEMD
Journal of Physics: Conference Series, 2022 When pedestal looseness fault occurs, rotor system’s vibration signals have non-stationary modulation characteristics. And traditional resonance demodulation method is difficult to determine the filter parameters. According to the fact, a pedestal looseness fault determination strategy of rotor system by using NA-MEMD (Noise-Assisted MEMD) is proposed.
Shengheng Ma +5 more
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Fast Multivariate Empirical Mode Decomposition
IEEE Access, 2018 The multivariate empirical mode decomposition (MEMD) has been pioneered recently for adaptively processing of multichannel data. Despite its high efficiency on time-frequency analysis of nonlinear and nonstationary signals, high computational load and ...
Xun Lang +6 more
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IEEE Access, 2019 Olfactory dysfunction is related to several clinical neurodegenerative diseases, such as Alzheimer's disease, multiple sclerosis, degenerative ataxias, Parkinson's disease, and so on.
Kuo-Wei Wang +8 more
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Diagnostic approach to patients with suspected motility disorders: one size does not fit all. [PDF]
Ann GastroenterolBackground Dysphagia and retrosternal chest pain are considered typical manifestations of major esophageal motility disorders (mEMD). High-resolution manometry (HRM) is the gold standard for mEMD diagnosis, while endoscopy and barium swallow are ...
Voulgaris T +5 more
europepmc +2 more sources
A Method for Blind Source Separation of Multichannel Electromagnetic Radiation in the Field
IEEE Access, 2020 Considering the multichannel instability, spectral overlap and strong interference of electromagnetic radiation signals in the integrated electric propulsion systems of ships, a new method is proposed which combines multivariate empirical mode ...
Sheng Liu, Bangmin Wang, Lanyong Zhang
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Speech enhancement based on mEMD‐VMD method
Electronics Letters, 2017 A novel and effective speech enhancement method is proposed for suppressing the white noise as well as non‐stationary acoustic noises. The proposed method employs the combination of variational mode decomposition (VMD) and empirical mode decomposition (EMD) methods.
A. Upadhyay, R.B. Pachori
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Search for information-bearing components in neural data. [PDF]
PLoS ONE, 2014 Multivariate empirical mode decomposition (MEMD) is an important extension of EMD, suitable for processing multichannel data. It can adaptively decompose multivariate data into a set of intrinsic mode functions (IMFs) that are matched both in number and ...
Meng Hu, Hualou Liang
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