Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Sheng-wei Fei"'
Autor:
Sheng-wei Fei, Ying-zhe Liu
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract In this study, fault diagnosis method of bearing utilizing gray level co-occurrence matrix (GLCM) and multi-beetles antennae search algorithm (MBASA)-based kernel extreme learning machine (KELM) is presented. In the proposed method, feature
Externí odkaz:
https://doaj.org/article/98f0cebca2f04d4e99b9ce3592a37a78
Autor:
Sheng-wei Fei
Publikováno v:
Shock and Vibration, Vol 2019 (2019)
Fault diagnosis of bearing based on variational mode decomposition (VMD)-phase space reconstruction (PSR)-singular value decomposition (SVD) and improved binary particle swarm optimization (IBPSO)-K-nearest neighbor (KNN) which is abbreviated as VPS-
Externí odkaz:
https://doaj.org/article/b8d8414099064e10a25f0686df5b862e
Autor:
Sheng-wei Fei
Publikováno v:
Shock and Vibration, Vol 2018 (2018)
The fault diagnosis method of bearing based on lifting wavelet transform (LWT)-self-adaptive phase space reconstruction (SPSR)-singular value decomposition (SVD)-based relevance vector machine (RVM) with binary gravitational search algorithm (BGSA) i
Externí odkaz:
https://doaj.org/article/e269f0edb93547c0beaf4592d7ce11a6
Autor:
Sheng-wei Fei
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
In this article, fault diagnosis of bearing based on relevance vector machine classifier with improved binary bat algorithm is proposed, and the improved binary bat algorithm is used to select the appropriate features and kernel parameter of relevanc
Externí odkaz:
https://doaj.org/article/959deb185d084974ac19dc90d30332cc
Autor:
Sheng-wei Fei
Publikováno v:
Advances in Mechanical Engineering, Vol 8 (2016)
Accurate prediction for kurtosis of bearing vibration signal is helpful to find out the fault of bearing as soon as possible. Kurtosis prediction of bearing vibration signal based on wavelet packet transform and Cauchy kernel relevance vector regress
Externí odkaz:
https://doaj.org/article/d6ae08b522fd4fdc834f31226837c01b
Autor:
Sheng-wei Fei, Yong He
Publikováno v:
Shock and Vibration, Vol 2015 (2015)
Bearing is an important component of mechanical system; any defects of bearing will lead to serious damage for the entire mechanical system. In this paper, Cauchy kernel relevance vector machine with stochastic inertia weight particle swarm optimizat
Externí odkaz:
https://doaj.org/article/be9b2e994a9f47e295cb0bcc55249fdc
Autor:
Sheng-wei Fei, Yong He
Publikováno v:
Shock and Vibration, Vol 2015 (2015)
The scientific and accurate prediction for state of bearing is the key to ensure its safe operation. A multiple-kernel relevance vector machine (MkRVM) including RBF kernel and polynomial kernel is proposed for state prediction of bearing in this stu
Externí odkaz:
https://doaj.org/article/2b2ad289b125476da26044b8a696905c
Autor:
Sheng-Wei FEI1 fsw@dhu.edu.cn, Ying-Zhe LIU1 lyingzhe@163.com
Publikováno v:
Mechanika. 2024, Vol. 30 Issue 4, p371-376. 6p.
Autor:
Sheng-Wei Fei
Publikováno v:
International Journal of Green Energy. 17:583-590
In order to improve the prediction ability for the monthly wind speed of RVR, the hybrid model of empirical wavelet transform and relevance vector regression (EWT-RVR) is proposed for monthly wind ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5618aef8d10f918ccb63d94ef68a1418
https://doi.org/10.1080/15435075.2020.1779076
https://doi.org/10.1080/15435075.2020.1779076
Autor:
Chuang-Xin He, Sheng-Wei Fei
Publikováno v:
International Journal of Green Energy. 16:652-656
In this paper, beetle antennae search algorithm-based mixed kernel relevance vector regression (BASA-MkRVR) model is presented and applied to predict the dissolved gases content in power transformer, and beetle antennae search algorithm (BASA) is use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0e16dea8f100957a9798f6708c7c051
https://doi.org/10.1080/15435075.2019.1602534
https://doi.org/10.1080/15435075.2019.1602534