Zobrazeno 1 - 10
of 3 602
pro vyhledávání: '"permutation entropy"'
Autor:
Bilgecan Şen, Christian Che‐Castaldo, Heather J. Lynch, Francesco Ventura, Michelle A. LaRue, Stéphanie Jenouvrier
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 10, Pp 1834-1846 (2024)
Abstract Many ecological systems dominated by stochastic dynamics can produce complex time series that inherently limit forecast accuracy. The ‘intrinsic predictability’ of these systems can be approximated by a time series complexity metric call
Externí odkaz:
https://doaj.org/article/a106686713814bbf88f03a84bf6414e3
Autor:
Luttfi A. Al-Haddad, Wojciech Giernacki, Ali Basem, Zeashan Hameed Khan, Alaa Abdulhady Jaber, Sinan A. Al-Haddad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Fault detection and isolation in unmanned aerial vehicle (UAV) propellers are critical for operational safety and efficiency. Most existing fault diagnosis techniques rely basically on traditional statistical-based methods that necessitate b
Externí odkaz:
https://doaj.org/article/d3720fb222094481b53c390e07341f3e
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37339- (2024)
Monitoring the building blast vibration signal is an efficient way to determine the power of blast vibration hazards. Due to the harsh measurement environment, noise is inevitably introduced into the recorded signals. This research presents a denoisi
Externí odkaz:
https://doaj.org/article/17abf50a655441eaa99bc3ebc7ba8e87
Publikováno v:
Dianxin kexue, Vol 40, Pp 62-72 (2024)
A fusion algorithm named permutation entropy weighted and bias adjustment rule fusion (PEW-BAR) was proposed to enhance the accuracy of speech emotion recognition by exploiting the emotional information in the spectral characteristics of speech signa
Externí odkaz:
https://doaj.org/article/debe941de07f46beb118a43e0586c402
Publikováno v:
Jixie chuandong, Vol 48, Pp 154-161 (2024)
When a gearbox transmission system fails, the multi-scale mean permutation entropy （MMPE） of different vibration signals corresponds to the fault state to a certain extent. However, the effect of multi-scale mean permutation entropy extraction fa
Externí odkaz:
https://doaj.org/article/bd548694b1604e9083de69b65fe91fb2
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7871 (2024)
Damage identification, both in terms of size and location, in bridges is important for timely maintenance and to avoid any catastrophic failure. An earlier experimental study showed that damage in a steel box girder orthotropic plate can be successfu
Externí odkaz:
https://doaj.org/article/cb013f5102a442fc87b526f5639bbc43
Akademický článek
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Akademický článek
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Autor:
LinLin Fan, Yixiao Li, Jia Li, Yueling Hao, Huizhi Ren, Shuwei Cao, Shuai Liu, Weijie Ding, Juanfen Wang, Lingzhen Yang
Publikováno v:
Results in Physics, Vol 63, Iss , Pp 107866- (2024)
We experimentally study the complexity of polarization components of chaotic fiber lasers by permutation entropy, skewness and kurtosis. The experimental setup for complexity analysis is composed of the chaotic fiber laser, polarization beam splitter
Externí odkaz:
https://doaj.org/article/8eb7a6c443754e64bf9d5c48c46953ae
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 53, Iss , Pp 101836- (2024)
Study Region: Huai River Basin, China Study Focus: Runoff data preprocessing and strongly correlated influencing factors are vital to predicting runoff by machine learning methods due to the impact of human activities and changing climate. To address
Externí odkaz:
https://doaj.org/article/34caf8f3799b4409ba92153fd7937fdf