Zobrazeno 1 - 10
of 52
pro vyhledávání: '"refined composite multiscale dispersion entropy"'
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 8, Pp 92-99 (2022)
It is difficult to accurately select the fault line when the single-phase ground fault occurs in the coal mine power grid with the widely used resonant grounding system. In order to solve the above problem, a fault line selection method of the coal m
Externí odkaz:
https://doaj.org/article/6a2920faff194eba9c8d1bfa03b1480d
Publikováno v:
Earth, Planets and Space, Vol 73, Iss 1, Pp 1-18 (2021)
Abstract Magnetotelluric (MT) data processing can increase the reliability of measured data. Traditional MT data denoising methods are usually applied to entire MT time-series, which results in the loss of useful MT signals and a decrease of imaging
Externí odkaz:
https://doaj.org/article/cbe88a6d0efc426a9c100824bd63ae5c
Publikováno v:
IEEE Access, Vol 8, Pp 168732-168742 (2020)
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 diagnos
Externí odkaz:
https://doaj.org/article/82566cdea23f48098d50e94b0f961744
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Sensors, Vol 21, Iss 16, p 5297 (2021)
We propose a novel fault-diagnosis approach for rolling bearings by integrating variational mode decomposition (VMD), refined composite multiscale dispersion entropy (RCMDE), and support vector machine (SVM) optimized by a sparrow search algorithm (S
Externí odkaz:
https://doaj.org/article/211aac4a1d854a8d9f86b0574840562d
Publikováno v:
Entropy, Vol 23, Iss 5, p 527 (2021)
Rolling bearings act as key parts in many items of mechanical equipment and any abnormality will affect the normal operation of the entire apparatus. To diagnose the faults of rolling bearings effectively, a novel fault identification method is propo
Externí odkaz:
https://doaj.org/article/cabf7f4ee5084f96ad21b49d7c3e81c3
Publikováno v:
Entropy, Vol 22, Iss 4, p 375 (2020)
Condition monitoring and fault diagnosis of a rolling bearing is crucial to ensure the reliability and safety of a mechanical system. When local faults happen in a rolling bearing, the complexity of intrinsic oscillations of the vibration signals wil
Externí odkaz:
https://doaj.org/article/b2427ccddad945948f6ab0ba69334b2e
Autor:
Weibo Zhang, Jianzhong Zhou
Publikováno v:
Entropy, Vol 21, Iss 7, p 680 (2019)
This study presents a comprehensive fault diagnosis method for rolling bearings. The method includes two parts: the fault detection and the fault classification. In the stage of fault detection, a threshold based on refined composite multiscale dispe
Externí odkaz:
https://doaj.org/article/e47980ea0bea4914b2af6dd2e31f89b9
Publikováno v:
Entropy, Vol 21, Iss 1, p 11 (2018)
Owing to the problems that imperfect decomposition process of empirical mode decomposition (EMD) denoising algorithm and poor self-adaptability, it will be extremely difficult to reduce the noise of signal. In this paper, a noise reduction method of
Externí odkaz:
https://doaj.org/article/1e588989e683493699f14ff777e098e3
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.