Results 1 to 10 of about 5,430 (153)
Fault diagnosis approach of rolling bearing based on NA-MEMD and FRCMAC [PDF]
The Journal of Engineering, 2018 This paper proposed a new method of fault diagnosis based on Noise Assisted Multivariate Empirical Mode Decomposition (NA-MEMD) and Fuzzy Recurrent Cerebellar Model Articulation Controller (FRCMAC) Neural Networks.
Sheng Liu, Yue Sun, Lanyong Zhang
doaj +2 more sources
Denoising and classification of Arrhythmia using MEMD and ANN
AEJ - Alexandria Engineering Journal, 2022 One of the major reasons of death worldwide is Cardiovascular diseases. One of its type is Arrhythmia in which normal rhythm of heart is varied due to damage in heart muscles and electrolyte imbalance. To study cardiovascular disease, Electrocardiogram (ECG) signal is used that plays a significant role in identifying Arrhythmia.
Hafiz M Asif +2 more
exaly +3 more sources
A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface [PDF]
Frontiers in Computational Neuroscience, 2022 In general, extraction and classification are used in various fields like image processing, pattern recognition, signal processing, and so on. Extracting effective characteristics from raw electroencephalogram (EEG) signals is a crucial role of the brain-
D. Jaipriya, K. C. Sriharipriya
doaj +2 more sources
Multiscale Traffic Dynamics Representation for Forecasting via MEMD-Guided Dual-Branch Recurrent Networks [PDF]
SensorsTraffic flow forecasting remains challenging because raw traffic flow observations often contain mixed temporal patterns, including slowly varying trends and fast local fluctuations.
Yichen Qian +5 more
doaj +2 more sources
A Modified EMD Technique for Broken Rotor Bar Fault Detection in Induction Machines [PDF]
SensorsInduction machines (IMs) are commonly used in various industrial sectors. It is essential to recognize IM defects at their earliest stage so as to prevent machine performance degradation and improve production quality and safety.
Md. Shamsul Arifin +2 more
doaj +2 more sources
MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals [PDF]
Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference, 2016 Multivariate multiscale entropy (mvMSE) has been proposed as a combination of the coarse-graining process and multivariate sample entropy (mvSE) to quantify the irregularity of multivariate signals. However, both the coarse-graining process and mvSE may not be reliable for short signals.
Hamed Azami +2 more
exaly +4 more sources
Gear Fault Diagnosis Based on APIT-SA-MEMD and FLLE
Jixie chuandong, 2022 Gears are often in a harsh working environment, and their vibration signals have the characteristics of non-linearity and non-stationarity. Therefore, it is of great significance to develop a fault diagnosis method suitable for gears.
Ji Haofei, Liu Huiling, Dong Jiaqiang
doaj +1 more source
IEEE Access, 2018 To solve the problem in which the auxiliary white-noise parameters need to be artificially selected in a noise-assisted multivariate empirical mode decomposition (NA-MEMD) and considering the fact that obtaining a large number of typical fault samples in
Lanyong Zhang, Sheng Liu, Yue Sun
exaly +3 more sources
Applied Sciences (Switzerland)The decrease in overall inertia in power systems due to the shift from synchronous generator production to renewable energy sources (RESs) presents a significant challenge.
Samir Avdakovic +2 more
exaly +3 more sources
On the Behavior of MEMD in Presence of Multivariate Fractional Gaussian Noise [PDF]
IEEE Transactions on Signal Processing, 2021 Multivariate empirical mode decomposition (MEMD) has been introduced to make standard EMD suitable for direct multichannel signals processing. Unlike EMD, MEMD is able to align sifted intrinsic mode functions (IMFs) from multiple data channels. The aim of this work is to analyze the behavior of MEMD under multivariate fGn (MfGn) with different Hurst ...
Komaty, Ali +4 more
openaire +4 more sources