Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zhong-Tao Xie"'
Publikováno v:
Journal of Process Control. 77:20-28
Energy conservation and emission reduction in steelmaking have received significant attention owing to the high amount of fossil energy consumption and emissions. Many methods have been adopted for saving energy, among which coke dry quenching (CDQ)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab502fafd25376fc8ebb9fa405814f52
https://doi.org/10.1016/j.jprocont.2019.03.011
https://doi.org/10.1016/j.jprocont.2019.03.011
Publikováno v:
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).
Plant-wide oscillation is very common in industrial process. When an oscillation occurs in a control unit during the process, the oscillation will propagate through the connectivity between the units which will cause problems such as poor product qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f18008105f3bf62e581d43da777e1138
https://doi.org/10.1109/ddcls.2019.8909045
https://doi.org/10.1109/ddcls.2019.8909045
Publikováno v:
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).
In order to obtain better performance in BCI systems, multi-channel electrodes are often used to collect EEG signals. However, using multi-channel electrodes may cause inconvenience to the EEG signal acquisition work, and may cause problems such as s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc950e4bf9ee8435565bb5a3932e8010
https://doi.org/10.1109/ddcls.2019.8909013
https://doi.org/10.1109/ddcls.2019.8909013
Publikováno v:
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).
With the rise of data science, data-based fault root diagnosis methods have attracted widespread attention. Among these methods, the Granger causalitytest is one of the most common methods which can infer causal associations between signals based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f568a1d07e7e72130039f16afe5655
https://doi.org/10.1109/ddcls.2019.8908945
https://doi.org/10.1109/ddcls.2019.8908945
Publikováno v:
2018 37th Chinese Control Conference (CCC).
One significant part of Electroencephalography (EEG) signal classification is data preprocessing. The traditional methods are hard to remove the noise and restore the original signal. In this paper, a novel method based on fuzzy c-means clustering is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8e46cb678b3aeeaea0ab411c237001b
https://doi.org/10.23919/chicc.2018.8482816
https://doi.org/10.23919/chicc.2018.8482816