Zobrazeno 1 - 10
of 237
pro vyhledávání: '"Diyi Chen"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 6114-6134 (2023)
Accurate and stable wind speed prediction can alleviate the uncertain impacts of wind power generation caused by nonlinear characteristics of wind speed, and then improve the reliability of wind power. In this paper, a hybrid model for wind speed pre
Externí odkaz:
https://doaj.org/article/8d25353cc7c1462b9ddc6a1c45f0df60
Publikováno v:
Fractal and Fractional, Vol 7, Iss 11, p 825 (2023)
This article investigates quasi-synchronization for a class of fractional-order delayed neural networks. By utilizing the properties of the Laplace transform, the Caputo derivative, and the Mittag–Leffler function, a new fractional-order differenti
Externí odkaz:
https://doaj.org/article/181fa9440a9443fc8cabf1b96f4e9ef1
Publikováno v:
IEEE Access, Vol 10, Pp 55889-55899 (2022)
This paper studies the electrical conductivity of a conductive material with structures similar to graphene, which consists of three basic components. The influence of various factors on the electrical conductivity of the fractional order is also ana
Externí odkaz:
https://doaj.org/article/9124357babfa414e87658ed7e869f497
Publikováno v:
Water, Vol 15, Iss 10, p 1951 (2023)
Traditional centrifugal pump performance prediction (CPPP) employs the semi-theoretical and semi-empirical approaches; however, it can lead to many prediction errors. Considering the superiority of deep learning when applied to nonlinear systems, in
Externí odkaz:
https://doaj.org/article/7e05be41f4ba4382ab3885c0e40da872
Autor:
Tianyu Yang, Diyi Chen
Publikováno v:
IET Renewable Power Generation, Vol 15, Iss 8, Pp 1624-1631 (2021)
Abstract Transient stability of a multi‐unit hydroelectric generating system significantly influences the safety operation of power stations. The uncertainty of operating parameter is one of the important factors to influence the system stability d
Externí odkaz:
https://doaj.org/article/5a43bdb0c5c14ecb8627819c41bcd952
Publikováno v:
Energies, Vol 16, Iss 3, p 1238 (2023)
Primary frequency regulation (PFR) is a crucial operating condition for PSPs to realise frequency modulation, and the effectiveness of PFR is significant to the stability of power system frequency. Several challenges and risks have been presented in
Externí odkaz:
https://doaj.org/article/27b21473af8e42afb59f90711b09c982
Autor:
Beibei Xu, Huanhuan Li, Wentai Pang, Diyi Chen, Yu Tian, Xiaohui Lei, Xiang Gao, Changzhi Wu, Edoardo Patelli
Publikováno v:
Energy Science & Engineering, Vol 7, Iss 5, Pp 1669-1677 (2019)
Abstract This study focuses on the fault diagnosis of a hydroelectric generation system with hydraulic‐mechanical‐electric structures. To achieve this analysis, a methodology combining Bayesian network approach and fault diagnosis expert system i
Externí odkaz:
https://doaj.org/article/816b1e05c9604315b263057359e4928f
Autor:
Weiyu Wang, Xunxin Zhao, Lijun Luo, Pei Zhang, Fan Mo, Fei Chen, Diyi Chen, Fengjiao Wu, Bin Wang
Publikováno v:
Energies, Vol 15, Iss 22, p 8423 (2022)
To address the difficulty of early fault diagnosis of rolling bearings, this paper proposes a rolling bearing diagnosis method by combining the attention entropy and adaptive deep kernel extreme learning machine (ADKELM). Firstly, the wavelet thresho
Externí odkaz:
https://doaj.org/article/71873fd0ac3b44aebefffee2e8118c47
Autor:
Zongru Yang, Guoxiu Sun, Paul Behrens, Poul Alberg Østergaard, Mònica Egusquiza, Eduard Egusquiza, Beibei Xu, Diyi Chen, Edoardo Patelli
Publikováno v:
Energy Conversion and Management: X, Vol 11, Iss , Pp 100108- (2021)
Homes in rural China often have access to water wells for domestic and agricultural use. Given the significant difference in height between the well water and the roof of the house, such an arrangement could be used as a solar-powered pumped-hydro en
Externí odkaz:
https://doaj.org/article/451ddbeba9224aee83e447aa477b6fdf
Autor:
Fei Chen, Wanfu Tian, Liyao Zhang, Jiazheng Li, Chen Ding, Diyi Chen, Weiyu Wang, Fengjiao Wu, Bin Wang
Publikováno v:
Entropy, Vol 24, Iss 8, p 1135 (2022)
In order to accurately diagnose the fault type of power transformer, this paper proposes a transformer fault diagnosis method based on the combination of time-shift multiscale bubble entropy (TSMBE) and stochastic configuration network (SCN). Firstly
Externí odkaz:
https://doaj.org/article/aea0cb266d1849549e56b186b4b972e5