Search

Your search keyword '"Zou, Yidong"' showing total 218 results
Start Over Author "Zou, Yidong" Publication Year Range Last 10 years
218 results on '"Zou, Yidong"'

21. Intelligent fault diagnosis of hydroelectric units based on radar maps and improved GoogleNet by depthwise separate convolution.

Author

Wang, Yunhe, Zou, Yidong, Hu, Wenqing, Chen, Jinbao, and Xiao, Zhihuai

Subjects
FAULT diagnosis, FEATURE extraction, HYDROELECTRIC power plants, INTELLIGENT transportation systems, RADAR
Abstract

Fault diagnosis plays an essential role in maintaining the safe and stable operation of hydroelectric units. In this paper, an intelligent fault diagnosis method based on radar maps and improved GoogleNet by depthwise separate convolution (DSC) is proposed to address the problems of low recognition accuracy and weak computing speed of fault diagnosis models in the field of hydroelectric unit fault diagnosis at present. Firstly, a one-dimensional signal sequence is obtained and denoised. Secondly, five time-domain features are extracted and radar maps are plotted. Then, an improved GoogleNet intelligent fault diagnosis model based on DSC (DSC-GoogLeNet) is constructed for training and validation. To assess the effectiveness of the proposed model, two case studies are conducted using the simulated dataset of the rotor experimental bench and the actual measured dataset of a domestic hydroelectric power plant. The results demonstrate that the average recognition accuracy of the fault diagnosis method proposed in this paper is as high as 99.04% on the simulated dataset, and even though the recognition accuracy decreases on the actually measurement dataset, it still has a recognition rate of 98.79%. The fault diagnosis performance is better than the other types of comparison models. The results demonstrate that the proposed fault diagnosis method holds significant engineering applicability in the domain of safe operation of hydroelectric units. It effectively addresses the existing challenges in fault diagnosis within this field with accuracy, stability, and efficiency. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

28. Fractional-PID and Its Parameter Optimization for Pumped Storage Units Considering the Complicated Conduit System.

Author

Zhou, Xuan, Zheng, Yang, Xu, Bo, Liu, Wushuang, Zou, Yidong, and Chen, Jinbao

Subjects
SEARCH algorithms, HYDRAULIC structures, GRAVITATIONAL lenses, DEGREES of freedom, STORAGE, MATHEMATICAL models
Abstract

Speed governing control is significant in ensuring the stable operation of pumped storage units. In this study, a state-space equation mathematical model of the pumped storage governing system considering the complex hydraulic pipeline structure of the pumped storage plant is proposed to describe the system's dynamic behaviors under small disturbance conditions. Considering the frequent operating condition transitions and the complicated nonlinear dynamic characteristics of the pumped storage units, the fractional-order PID (FOPID) scheme that possesses a higher degree of control freedom than the traditional PID scheme is discussed in detail. To optimize the control parameters of the unit governor, an improved gravitational search algorithm (IGSA) that combines the basic searching mechanisms of the gravitational search algorithm and chaotic search, elastic sphere boundary treatment, and elite guidance strategy is developed. Comparative studies have been carried out under frequency and load disturbance conditions. Simulation results indicate that the control performance of FOPID is better than that of PID under diverse operating conditions and the proposed IGSA has satisfactory parameter optimization capability. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

46. Design of Intelligent Nonlinear H 2 / H ∞ Robust Control Strategy of Diesel Generator-Based CPSOGSA Optimization Algorithm.

Author

Zou, Yidong, Xiao, Boyi, Qian, Jing, and Xiao, Zhihuai

Subjects
OPTIMIZATION algorithms, ROBUST control, DIESEL electric power-plants, DYNAMICAL systems, POWER resources
Abstract

In today's human society, diesel generators (DGs) are widely applied in the human energy and electricity supply system due to its technical, operational, and economic advantages. This paper proposes an intelligent nonlinear H 2 / H ∞ robust controller based on the chaos particle swarm gravity search optimization algorithm (CPSOGSA), which controls the speed and excitation of a DG. In this method, firstly, establish the nonlinear mathematical model of the DG, and then design the nonlinear H 2 / H ∞ robust controller based on this. The direct feedback linearization and the H 2 / H ∞ robust control theory are combined and applied. Based on the design of the integrated controller for DG speed and excitation, the system's performance requirements are transformed into a standard robust H 2 / H ∞ control problem. The parameters of the proposed solution controller are optimized by using the proposed CPSOGSA. The introduction of CPSOGSA completes the design of an intelligent nonlinear H 2 / H ∞ robust controller for DG. The simulation is implemented in MATLAB/Simulink, and the results are compared with the PID control method. The obtained results prove that the proposed method can effectively improve the dynamic accuracy of the system and the ability to suppress disturbances and improve the stability of the system. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

50. Responses of Tobacco Growth and Development, Nitrogen Use Efficiency, Crop Yield and Economic Benefits to Smash Ridge Tillage and Nitrogen Reduction

Author

Zheng, Bufan, primary, Jing, Yongfeng, additional, Zou, Yidong, additional, Hu, Ruiwen, additional, Liu, Yongjun, additional, Xiao, Zhipeng, additional, He, Fei, additional, Zhou, Qiyun, additional, Tian, Xiangshen, additional, Gong, Jia, additional, Li, Juan, additional, and Rang, Zhongwen, additional

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results