Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Yesong Li"'
Autor:
Jihong Chen, Jianzhong Yang, Huicheng Zhou, Hua Xiang, Zhihong Zhu, Yesong Li, Chen-Han Lee, Guangda Xu
Publikováno v:
Engineering, Vol 1, Iss 2, Pp 247-260 (2015)
Building cyber-physical system (CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control (CNC) system during the work processes of a CNC machine tool is the main sou
Externí odkaz:
https://doaj.org/article/cedf988cd5fb4109b68b0c7c08649263
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:3793-3802
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:1270-1281
Autor:
Ying Liu, Shuohua Chen, Milena Pavlova, Yaqi Li, Yesong Liu, Jihui Zhang, Liang Sun, Zhenjian Yu, Xiang Gao
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 21 (2024)
Background The potential clinical implication of sleep talking in relation to stroke has not been explored to date. This study aimed to prospectively examine the association between sleep talking and the risk of developing stroke in a community‐bas
Externí odkaz:
https://doaj.org/article/4f0b5ca28e614b5186e20da292ed7471
Publikováno v:
Journal of Power Electronics. 20:1250-1260
The LLCL filter is usually used as a switching ripple suppressor since it can attenuate switching-frequency current harmonics much better than an LCL filter using lower total inductance and capacitance. However, it is more difficult to design LLCL pa
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 25:1679-1689
Motor current signal analysis is an effective technique for fault diagnosis in the motor drive system. However, in the closed-loop control (CLC) system, the amplitude of periodic faulty harmonic is suppressed by the impact of CLC characteristics, so
Publikováno v:
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing).
Publikováno v:
IEEE Transactions on Power Electronics. 34:4524-4535
Conventional model predictive control (MPC) for electrical drives relies on the accuracy of system model, thus, its performance will deteriorate due to disturbances such as parameter mismatch and current distortion. To improve the robustness of MPC,
Publikováno v:
Mechanical Systems and Signal Processing. 116:217-229
In the diagnosis of electromechanical system, traditional vibration analysis methods are affected by the positioning of additional sensors. To overcome this problem, we propose a virtual phase torque (VPT) diagram method based on self-sensing motor d
Publikováno v:
Journal of Vibration and Control. 25:946-959
Model predictive control (MPC) is widely used in a cascaded structure for electrical drives, in which, the MPC is applied as inner-loop for current regulating while another controller such as proportional–integral (PI) is applied as outer-loop for