Articles with "dispersion entropy" as a keyword



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Improved multiscale weighted-dispersion entropy and its application in fault diagnosis of train bearing

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Published in 2021 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/abdc98

Abstract: Multiscale dispersion entropy (MDE) is a common method for measuring the complexity of nonlinear time series. However, the uncertainty results by the MDE tool may be unreliable as the coarse-graining procedure will reduce the number… read more here.

Keywords: multiscale weighted; dispersion entropy; diagnosis; entropy ... See more keywords
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An Improved Empirical Wavelet Transform and Refined Composite Multiscale Dispersion Entropy-Based Fault Diagnosis Method for Rolling Bearing

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2019.2940627

Abstract: The vibration signals collected by the sensor often have non-stationary and non-linear characteristics owing to the complexity of working environment of rolling bearing, so it is difficult to obtain useful and stable vibration information for… read more here.

Keywords: multiscale dispersion; diagnosis; method; dispersion entropy ... See more keywords
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Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals

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Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"

DOI: 10.1109/tcds.2021.3099344

Abstract: The interest in the application of nonlinear methodologies for the analysis of electroencephalography signals for automatic recognition of emotions has increased notably. A vast number of studies in the research field of emotions detection have… read more here.

Keywords: application; detection; application dispersion; dispersion entropy ... See more keywords
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A new approach to health condition identification of rolling bearing using hierarchical dispersion entropy and improved Laplacian score

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Published in 2020 at "Structural Health Monitoring"

DOI: 10.1177/1475921720948620

Abstract: Since bearing fault signal under complex running status is usually manifested as the characteristics of nonlinear and non-stationary, which implies it is difficult to extract accurate affluent features and achieve effective fault identification via conventional… read more here.

Keywords: identification; laplacian score; dispersion entropy; hierarchical dispersion ... See more keywords
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Hierarchical Multiscale Fluctuation Dispersion Entropy for Fuel Injection System Fault Diagnosis

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Published in 2023 at "Polish Maritime Research"

DOI: 10.2478/pomr-2023-0010

Abstract: Abstract Marine electronically controlled (ME) two-stroke diesel engines occupy the highest market share in newly-built ships and its fuel injection system is quite different and important. Fault diagnosis in the fuel injection system is crucial… read more here.

Keywords: system; fault diagnosis; fuel injection; entropy ... See more keywords
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Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy

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Published in 2018 at "Entropy"

DOI: 10.3390/e20020138

Abstract: The evaluation of complexity in univariate signals has attracted considerable attention in recent years. This is often done using the framework of Multiscale Entropy, which entails two basic steps: coarse-graining to consider multiple temporal scales,… read more here.

Keywords: sample; coarse graining; dispersion entropy; entropy ... See more keywords
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Parameter Analysis of Multiscale Two-Dimensional Fuzzy and Dispersion Entropy Measures Using Machine Learning Classification

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Published in 2021 at "Entropy"

DOI: 10.3390/e23101303

Abstract: Two-dimensional fuzzy entropy, dispersion entropy, and their multiscale extensions (MFuzzyEn2D and MDispEn2D, respectively) have shown promising results for image classifications. However, these results rely on the selection of key parameters that may largely influence the… read more here.

Keywords: classification; image; dispersion entropy; entropy ... See more keywords
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PV System Failures Diagnosis Based on Multiscale Dispersion Entropy

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Published in 2022 at "Entropy"

DOI: 10.3390/e24091311

Abstract: Photovoltaic (PV) system diagnosis is a growing research domain likewise solar energy’s ongoing significant expansion. Indeed, efficient Fault Detection and Diagnosis (FDD) tools are crucial to guarantee reliability, avoid premature aging and improve the profitability… read more here.

Keywords: system; diagnosis; multiscale dispersion; entropy ... See more keywords