Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hui-Xin Tian"'
Publikováno v:
IEEE Access, Vol 7, Pp 60995-61007 (2019)
Accurate state monitoring and the fault prediction model is very important for the smooth running of a reciprocating compressor. Vibration signal is a sensitive characteristic parameter for fault prediction of a reciprocating compressor. Thus, it is
Externí odkaz:
https://doaj.org/article/572afc5e39e64d9380314238c2b019e8
Publikováno v:
Journal of Central South University. 26:1402-1415
State of charge (SOC) estimation has always been a hot topic in the field of both power battery and new energy vehicle (electric vehicle (EV), plug-in electric vehicle (PHEV) and so on). In this work, aiming at the contradiction problem between the e
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
J. Appl. Math.
J. Appl. Math.
The inspection of inhomogeneous transverse and longitudinal wall thicknesses, which determines the quality of reducing pipe during the production of seamless steel reducing pipe, is lags and difficult to establish its mechanism model. Aiming at the p
Autor:
Zhi-Zhong Mao, Hui-Xin Tian
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 7:73-80
Combined the modified AdaBoost.RT with extreme learning machine (ELM), a new hybrid artificial intelligent technique called ensemble ELM is developed for regression problem in this study. First, a new ELM algorithm is selected as ensemble predictor d
Publikováno v:
Journal of Iron and Steel Research International. 16:1-6
Aiming at the limitations of traditional thermal model and intelligent model, a new hybrid model is established for soft sensing of the molten steel temperature in LF. Firstly, a thermal model based on energy conservation is described; and then, an i
Publikováno v:
CDC
Aiming at the characteristics of soft sensors, an ensemble learning algorithm AdaBoost.RT is used to establish the soft sensor models. According to the shortcoming of AdaBoost.RT and the difficulties of on-line updating for soft sensor models, a self
Autor:
Hui-Xin Tian1 icedewl@163.com, Zhi-Zhong Mao2 maozhizhong@ise.neu.edu.cn
Publikováno v:
IEEE Transactions on Automation Science & Engineering. Jan2010, Vol. 7 Issue 1, p73-80. 8p.