Results 41 to 50 of about 23,082 (239)

Feature extraction method of ship-radiated noise based on dispersion entropy: A review

open access: yesFrontiers in Physics, 2023
There is abundant ship information in ship-radiated noise, which is helpful for ship target recognition, classification and tracking. However, owing to the increasing complexity of the marine environment, it makes difficult to extract S-RN features ...
Guanni Ji
doaj   +1 more source

Particle Swarm Optimization Fractional Slope Entropy: A New Time Series Complexity Indicator for Bearing Fault Diagnosis

open access: yesFractal and Fractional, 2022
Slope entropy (SlEn) is a time series complexity indicator proposed in recent years, which has shown excellent performance in the fields of medical and hydroacoustics.
Yuxing Li, Lingxia Mu, Peiyuan Gao
doaj   +1 more source

Amplitude- and Frequency-based Dispersion Patterns and Entropy

open access: yesCoRR, 2017
Permutation patterns-based approaches, such as permutation entropy (PerEn), have been widely and successfully used to analyze data. However, these methods have two main shortcomings. First, when a series is symbolized based on permutation patterns, repetition as an unavoidable phenomenon in data is not took in to account. Second, they consider only the
Hamed Azami, Javier Escudero
openaire   +2 more sources

Refined Composite Multiscale Fluctuation Dispersion Entropy and Supervised Manifold Mapping for Planetary Gearbox Fault Diagnosis

open access: yesMachines, 2023
A novel fault diagnosis scheme was developed to address the difficulty of feature extraction for planetary gearboxes using refined composite multiscale fluctuation dispersion entropy (RCMFDE) and supervised manifold mapping. The RCMFDE was first utilized
Haocheng Su   +5 more
doaj   +1 more source

Partial discharge feature extraction based on synchrosqueezed windowed Fourier transform and multi-scale dispersion entropy

open access: yesMeasurement + Control, 2020
The recognition of partial discharge mode is an important indicator of the insulation condition in transformers, based on which maintenance can be arranged. Discharge feature extraction is the key to recognize discharge mode. To solve the problem of poor
Wang Wenbo, Sun Lin, Wang Bin, Yu Min
doaj   +1 more source

Intelligent Deep Learning Method for Forecasting the Health Evolution Trend of Aero-Engine With Dispersion Entropy-Based Multi-Scale Series Aggregation and LSTM Neural Network

open access: yesIEEE Access, 2020
Accurate health evolution trend forecasting of aero-engine is essential for operation reliability and maintenance costs of aeronautical equipment. In this study, an intelligent deep learning method, systematically blending the dispersion entropy-based ...
Wei Jiang   +5 more
doaj   +1 more source

Modified dispersion relations and black hole entropy [PDF]

open access: yesPhysics Letters B, 2010
We compute the black hole entropy in the context of the Modified Dispersion Relations using the brick wall model. An explicit dependence of the radial coordinate approaching the horizon is shown to analyze the behavior of the divergence. We find that, due to the modification of the density of states, the brick wall can be eliminated.
openaire   +2 more sources

Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements

open access: yesEntropy, 2018
Quantifying complexity from heart rate variability (HRV) series is a challenging task, and multiscale entropy (MSE), along with its variants, has been demonstrated to be one of the most robust approaches to achieve this goal.
Frederico Sassoli Fazan   +4 more
doaj   +1 more source

Multi-Distance Dispersion Entropy for ECG Signal Classification

open access: yesInternational Journal of Online and Biomedical Engineering (iJOE), 2022
Automatic detection of heartbeat is critical for early cardiovascular disease prevention and diagnosis. Traditional feature methodologies based on expert knowledge cannot abstract and represent multidimensional and multi-view information. Hence traditional research on heartbeat detection pattern recognition cannot produce adequate results. The proposed
Sugondo Hadiyoso   +3 more
openaire   +1 more source

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