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In this paper, electromagnetic dynamic characteristics of suspension system of middle-low speed maglev train are analyzed with finite element analysis (FEA) method based on the high-performance computing platform (HPC). The couple structure between F-type track and suspension magnet is meshed by pretension element. The dynamic characteristics of suspension system are simulated in three-dimensional model with 4 degrees of freedom motions condition. Both the numerical simulations and the actual force tests of suspension system are carried out with the same input. The result shows that the calculation accuracy of finite element analysis is high.

A parametric fault model of electro-hydraulic servo system based on hybrid system and multiple linear regression model was put forward. First of all, the operating condition of electro-hydraulic servo system was abstracted to discrete states, then using multiple linear regression algorithm, the model parameter were identified based on the statistical analysis of sample data. Finally, an electro-hydraulic servo system fault model was constructed combining the fault parameter. Compared to the previous fault model based on experimental modeling method, this model was constructed based on pressure, flow rate sensor data fusion, two parameters are correlated in the base layer, which can effectively improve the diagnostic decision robustness. The parametric fault monitoring and diagnosis experimental showed the effectiveness in fault monitoring.

For the nonliear and uncertainty parameters of the running driving component of Resonant cement-road breaking vehicle (RCRBV), the mathematic model of the speed Control is established, a adaptive backstepping control method based upon the dynamic recurrent fuzzy neural networks (DRFNN) is presented. The adaptive backstepping controlling arithmetic is designed firstly in transportational status without regard to the uncertain parameters. The convergence based on Lyapunov theory for the closed loop system is also analysised. secondly, the uncertain parameters of the Electro-hydraulic propotional system which affect the running speed controlling performances are defined as items to be estimated by DRFNN in breaking status to meet the high precision and stability requires, the parameter adjustment law is given based upon DRFNN. Finally, the results of the simulation show that the scheme is robust with respect to plant parameter variations and load disturbances.

Eye statement is one of the most important factors reflecting driver fatigue. A novel eye statement recognition method for driver fatigue detection based on Gabor transformation and Hidden Markov Model is proposed in this paper, in which, the eye detection algorithm is borrowed from Zafer Savas' TrackEye software, and Gabor features, i.e. the eye state features, of the eye are extracted by using Gabor wavelet. After that, by using these features, the classifier is trained by HMM (Hidden Markov Model) to distinguish the eye states including fatigue and alert, then the consecutive five frames are considered to judge whether there exists driver fatigue or not. Simulation results show that the new method has good accuracy and effectiveness.

According to the manufacturing procedure of liquid crystals modules (LCM), several display distortions of LCM, such as S line distortion, G line distortion, line short-circuit and cs-open are introduced. Combined with its internal structure and its working principle, key causes and repair methods of these distortions are focused on. The pass rate of the product is improved. A foundation has been laid on research in automated diagnosing systems which based on image processing and circuit parameter diagnosing technology.