Improved multiscale weighted-dispersion entropy and its application in fault diagnosis of train bearing
Sign Up to like & getrecommendations! 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
Improved multiscale coded dispersion entropy: a novel quadratic-coded health indicator of rolling bearings
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad4734
Abstract: Dispersion entropy (DE) is widely used to quantify the complexity of nonlinear time series. In order to improve the ability to capture fault characteristics, a novel approach called coded dispersion entropy (CDE) has been introduced… read more here.
Keywords: dispersion; dispersion entropy; coded dispersion; entropy ... See more keywords
An Improved Empirical Wavelet Transform and Refined Composite Multiscale Dispersion Entropy-Based Fault Diagnosis Method for Rolling Bearing
Sign Up to like & getrecommendations! 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
Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals
Sign Up to like & getrecommendations! 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
Hermite Interpolation Multiscale Adaptive Dispersion Entropy and Its Application in Feature Extraction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3556913
Abstract: Dispersion entropy (DE) and its multiscale version multiscale DE (MDE) are effective measures of time series complexity. DE, however, ignores skewness information, which can lead to inaccurate entropy estimates, and is sensitive to the choice… read more here.
Keywords: interpolation multiscale; multiscale; hermite interpolation; dispersion entropy ... See more keywords
A new approach to health condition identification of rolling bearing using hierarchical dispersion entropy and improved Laplacian score
Sign Up to like & getrecommendations! 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
Amplitude-based multiscale reverse dispersion entropy: a novel approach to bearing fault diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "Structural Health Monitoring"
DOI: 10.1177/14759217231219649
Abstract: The multiscale fluctuation dispersion entropy algorithm (MFDE) is widely used to extract the characteristics from a variety of complex nonlinear signals, including bearing signals, due to its excellent performance to quantify the uncertainties of complex… read more here.
Keywords: bearing; amplitude based; dispersion entropy; entropy ... See more keywords
Hierarchical Multiscale Fluctuation Dispersion Entropy for Fuel Injection System Fault Diagnosis
Sign Up to like & getrecommendations! 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
Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy
Sign Up to like & getrecommendations! 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
Parameter Analysis of Multiscale Two-Dimensional Fuzzy and Dispersion Entropy Measures Using Machine Learning Classification
Sign Up to like & getrecommendations! 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
PV System Failures Diagnosis Based on Multiscale Dispersion Entropy
Sign Up to like & getrecommendations! 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