Mechanical Systems and Signal Processing,2006年20(2):363-372 ISSN：0888-3270
[Yonglin, Zhang] CAD Center, Huazhong University of Science and Technology, China;[Jiafan, Zhang; Yonglin, Zhang] Department of Mechanical Engineering, Wuhan Polytechnic University, #1 Zhonghuan Xilu, Changqing Garden, Wuhan 430023, Hubei Province, China
Based on the dynamic analysis of 5XF150/180 type grain cleaning machine, the two sieve bodies' boundary conditions for finite element analysis are determined. The natural frequency and vibration mode of sieve bodies were identified by modal analysis by the use of ANSYS Workbench. Based on the result of modal analysis to make harmonic response analysis, the steady-state kinetics characteristics under the actual working frequency can be determined. The results verify the reasonable of the design and selection of main dynamic parameters of vibrating screen.
Hu Zhigang;Chen Liping;Zhang Yonglin;Song Shaoyun;Guo Weifeng
[Chen Liping; Hu Zhigang] CAD Center, Huazhong University of Science and Technology, Wuhan, Hubei, China;[Guo Weifeng; Zhang Yonglin; Song Shaoyun] School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, Hubei, China
International Conference on Sustainable Construction Materials and Computer Engineering (ICSCMCE 2011)
Inverse Problems in Science and Engineering,2015年23(3):479-497 ISSN：1741-5977
[Zhang, Jiafan; Zhang, Yonglin; Ye, Jianping] School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, People’s Republic of China;[Ouyang, Huajiang] School of Engineering, University of Liverpool, Liverpool, UK
[Ouyang, Huajiang] Univ Liverpool, Sch Engn, Liverpool L69 3BX, Merseyside, England.;School of Engineering, University of Liverpool, Liverpool, UK
vibrating system;partial quadratic eigenvalue assignment;acceleration and velocity feedback;minimum norm;65F18;70J50;93B52
The partial quadratic eigenvalue assignment problem (PQEVAP) is to shift a few undesired eigenvalues of a damped vibrating system to suitably chosen locations, while leaving the remaining eigenvalues and corresponding eigenvectors unchanged. In this paper, an algorithm for solving PQEVAPs and the minimum norm PQEVAP (MNPQEVAP) using acceleration and velocity feedback is proposed. It is shown that solving the PQEVAP here is transformed into solving an eigenvalue assignment of a linear system of a much lower order. Furthermore, the MNPQEVAP here can be efficiently solved by a gradient-based unconstrained optimization method with the derived gradient formula. This algorithm works directly on the second-order system model, and requires the knowledge of only the open-loop eigenvalues to be replaced and their corresponding eigenvectors. Lastly, through two numerical examples, the results of solving the MNPQEVAP under two different combined feedback signals, velocity and displacement signals, and acceleration and velocity signals, are compared from two points of view, i.e. the F-norms of their feedback matrices and the active control energy required from the actuators.
Lecture Notes in Control and Information Sciences
The ability to detect a new fault class can be a useful feature for an intelligent fault classification and diagnosis system. In this paper, we adopt two novelty detection methods, the support vector data description (SVDD) and the Parzen density estimation, to represent known fault class samples, and to detect new fault class samples. The experiments on real multi-class bearing fault data show that the SVDD can give both high identification rates for the prescribed 'unknown' fault samples and the known fault samples, which shows an advantage over the Parzen density estimation method in our experiments, via choosing the appropriate SVDD algorithm parameters.
[Ye, Jian Ping; Hu, Zhi Gang; Zhang, Yong Lin; Song, Shao Yun] CAD Center, Huazhong University of Science and Technology, Guanshan, Wuhan, 430074, China;[Chen, Li Ping; Hu, Zhi Gang] School of Mechanical Engineering, Wuhan Polytechnic University, No.1 West Zhonghuan Road, Wuhan, 430023, China
2nd International Conference on Manufacturing Science and Engineering
2-D model - IFFT method - Input datas - Numerical modeling - One-dimensional model - Power spectral density function - PSD - Random road surfaces - Road excitations - Road surface model - Road surfaces - Sample data - Standard grades - Stochastic road surface - Time domain - Time-domain model - Virtual prototyping
[Guo, Wei-Feng; Qu, Yu; Zhang, Yong-Lin] School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China;[Zhang, Yun-Qing] CAD Center, Huazhong University of Science and Technology, Wuhan, China
International Conference on Advanced Measurement and Test (AMT 2010)