Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Huabin Qin"'
Publikováno v:
AMB Express, Vol 10, Iss 1, Pp 1-11 (2020)
Abstract This paper studied the inhibitory effects of dithiocyano-methane (DM) on the glucose decomposition pathway in the respiratory metabolism of Escherichia coli. We investigated the effects of DM on the activities of key enzymes (ATPase and gluc
Externí odkaz:
https://doaj.org/article/93750a9fc35043bfbacaeaf22b5e743e
Publikováno v:
IEEE Access, Vol 8, Pp 153610-153629 (2020)
Aiming at the influence of mixed noise of bearing vibration signal on the extraction of useful information, a fault diagnosis optimize classifier based on multi-scale permutation entropy (MPE) and cuckoo search algorithm (CS) is proposed. Firstly, th
Externí odkaz:
https://doaj.org/article/cef24f293d264e7cbd0139afd4e31f3e
Publikováno v:
Entropy, Vol 21, Iss 5, p 470 (2019)
Traditional fault diagnosis methods of DC (direct current) motors require establishing accurate mathematical models, effective state and parameter estimations, and appropriate statistical decision-making methods. However, these preconditions consider
Externí odkaz:
https://doaj.org/article/e97aef8ddfaf4a378786f267753eea0d
Publikováno v:
Applied Intelligence. 51:4888-4907
Traditional fault diagnosis methods of DC (direct current) motors require high expertise and human labor. However, the other disadvantages of these methods are low efficiency and poor accuracy. To address these problems, a new adaptive and intelligen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e45acb4829510dfaa8d2538403391822
https://doi.org/10.1007/s10489-020-02087-3
https://doi.org/10.1007/s10489-020-02087-3
Publikováno v:
IEEE Access, Vol 8, Pp 153610-153629 (2020)
Aiming at the influence of mixed noise of bearing vibration signal on the extraction of useful information, a fault diagnosis optimize classifier based on multi-scale permutation entropy (MPE) and cuckoo search algorithm (CS) is proposed. Firstly, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a15f0dca5bf96857c380377eb352374
https://ieeexplore.ieee.org/document/9172050/
https://ieeexplore.ieee.org/document/9172050/
Publikováno v:
2021 40th Chinese Control Conference (CCC).
When the measured vibration signals of rolling bearings are decomposed using Variational Modal Decomposition (VMD), the number of modes K and penalty factor α should be manually set, otherwise they will influence the accuracy of the signal decomposi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eeecb8076c73ba619fc2418d31e7b78
https://doi.org/10.23919/ccc52363.2021.9550559
https://doi.org/10.23919/ccc52363.2021.9550559
Publikováno v:
2020 39th Chinese Control Conference (CCC).
The performance of the traditional variational modal decomposition (VMD) method is greatly affected by the number of modalities decomposed by artificial settings when the signal is modally decomposed, and the traditional learning method has a slow tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b40676d0556518efccb69318bece640
https://doi.org/10.23919/ccc50068.2020.9189364
https://doi.org/10.23919/ccc50068.2020.9189364
Publikováno v:
2020 39th Chinese Control Conference (CCC).
With deep learning applied in image super-resolution (SR), more CNN-based method was applied to image super-resolution problems in recent researches. A lot of training time and memory space were used to make network convergence by tradition SR method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::845554859e84d20e66d52808d0cf7f82
https://doi.org/10.23919/ccc50068.2020.9189330
https://doi.org/10.23919/ccc50068.2020.9189330
Autor:
Yanfeng Chen, Wenjie Ke, Huabin Qin, Siwei Chen, Limei Qin, Yang, Ying, Yu, Hui, Yuansheng Tan
Additional file 1. Schematic diagram of the hexose monophosphate pathway.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::092e09be35d78b0f22052e23d784c2b6
Publikováno v:
2019 Chinese Control Conference (CCC).
The mechanical fault diagnosis results of the rotary bearings are mainly determined by the feature vector and classifier used. In order to obtain more significant signal characteristics, a new mechanical fault diagnosis method is proposed. First, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f810bd122a7f01a1dd326b44d393621
https://doi.org/10.23919/chicc.2019.8865521
https://doi.org/10.23919/chicc.2019.8865521