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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…
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Keywords:
multiscale weighted;
dispersion entropy;
diagnosis;
entropy ... See more keywords
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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…
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Keywords:
multiscale dispersion;
diagnosis;
method;
dispersion entropy ... See more keywords
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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…
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Keywords:
application;
detection;
application dispersion;
dispersion entropy ... See more keywords
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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…
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Keywords:
identification;
laplacian score;
dispersion entropy;
hierarchical dispersion ... See more keywords
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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…
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Keywords:
system;
fault diagnosis;
fuel injection;
entropy ... See more keywords
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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,…
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Keywords:
sample;
coarse graining;
dispersion entropy;
entropy ... See more keywords
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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…
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Keywords:
classification;
image;
dispersion entropy;
entropy ... See more keywords
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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…
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Keywords:
system;
diagnosis;
multiscale dispersion;
entropy ... See more keywords