Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Luqing Ye"'
Publikováno v:
Journal of Engineering Science & Technology Review; 2024, Vol. 17 Issue 3, p109-115, 7p
Publikováno v:
In Electric Power Systems Research 2001 59(1):39-45
Publikováno v:
In IFAC Proceedings Volumes July 2000 33(17):609-614
Autor:
Yonggang, Zbang, Luqing, Ye
Publikováno v:
In IFAC Proceedings Volumes July 2000 33(17):35-40
Publikováno v:
Computers and Education
Computers and Education, 2007, 49 (4), pp.1205-1223. ⟨10.1016/j.compedu.2006.01.012⟩
Computers and Education, 2007, 49 (4), pp.1205-1223. ⟨10.1016/j.compedu.2006.01.012⟩
International audience; Automatic test generating system in distributed computing context is one of the most important links in on-line evaluation system. Although the issue has been argued long since, there is not a perfect solution to it so far. Th
Publikováno v:
IEEE Transactions on Energy Conversion. 19:179-186
The predictive maintenance within the framework of intelligent-control-maintenance-management system (ICMMS) makes full use of all the information of control, maintenance, and technical management aspects to make right maintenance at the right time i
Publikováno v:
Energy Conversion and Management. 44:797-808
Nowadays, there is no formal method to evaluate the overall performance of hydroelectric generating units (HGUs). In this paper, an economic performance evaluation method for HGUs is proposed, and the corresponding quantitative indices and criteria a
Publikováno v:
IEEE Transactions on Power Systems. 16:340-345
Publikováno v:
IEEE Transactions on Energy Conversion. 13:84-89
An intelligent discontinuous control strategy for water turbine regulation is presented in this paper. Taking reliability and the static and dynamic performance of the system as the ultimate goal, it combines the classical fuzzy control theory and tr
Publikováno v:
2009 Asia-Pacific Power and Energy Engineering Conference.
In this paper, a new fuzzy controller for hydro turbine governing systems is proposed by introducing nonlinear analytical rules into the fuzzy controller. The approach to tuning the rules of the fuzzy controller online is discussed and the parameters