Advanced Materials Research Vols. 179-180

Abstract: This paper introduces a new-type bogie wheel and its properties, i.e., bogie wheel with tubular spaced-damping, which has vibration-reducing buffering functions. The mechanic model of bogie wheel based on crawler bulldozer of some type was built. Matlab software was used to simulate such bogie wheel. The results show that bogie wheel with spaced-damping can effectively buffer the vibration on such bulldozer under different load cases.

Abstract: Based on the uncertain problem during the design of the fatigue life of drive axle housing assemble, entity model of drive axle housing assemble of some commercial vehicle is built by UG. According to national standard of the Bench Test, with finite element method, the finite element model is built and the static strength analysis is made by the FEM-software ABAQUS 6.8. On the base of the result of stress-strain analysis and the model validation, with the fatigue software FEMFAT 4.7D, the research on the cumulative damage and endurance limit safety factors is studied in terms of the Miner modified fatigue theory in the drive axle housing assemble. The results show that the model and method is reasonable and effective. It is helpful to optimize the structure parameter in the drive axle design through the optimization algorithm in the automobile.

Abstract: The inverted plasma cutting power supply has multi-variable, nonlinear, strong coupling and time-varying characteristics and technological requirements. This paper proposes a decoupling control strategy based on fuzzy neural network expert system for the multi-parameter dynamic coupling and the uncertainty of the optimal output of the cutting process. It achieves the reasoning and decision-making through the fuzzy production rules. It adjusts the parameters of the neural network by adaptive algorithm, thus gets the optimal reference current of closed-loop controller, and then achieves the given current closed-loop control by means of RBF neural network adaptive PID controller. The simulation results show that the controller has good self-adaption and approximation. Compared with traditional PID controller, the system has great improvement on static accuracy, robustness and response speed. It is verified that the controller has the advantage of dealing with discrete problem and coupling multivariable problem.

Abstract: Focusing on load characteristics of inverted plasma cutting power supply, this paper puts forward a nonlinear control method. This method integrates fuzzy control technology into the controller of power supply, thereby optimizing dynamic characteristics of power supply. The SIMULINK simulation technology is also used. To compare steady-state precision, robustness, response speed and other control indexes between fuzzy control and conventional PI control, the comparative simulation experiments were made respectively under constant non-disturbance steady-state condition, aperiodic load disturbance condition, and periodic load disturbance condition. The simulation results show that power supply with fuzzy controller has perfect steady robustness, fast system response and strong harmonic suppression ability. The simulation model is accurate and reliable, and it can be an efficient tool for further studying mechanism and algorithm optimization of plasma cutting power supply.

Abstract: As an applied technology, Sports System Simulation has been widely used, but as an interdisciplinary research, it is only at the initial stage. This paper analyzed and discussed the definition, basic characteristics, research method, steps, and the current application of sports system simulation, and tried to explore the law of it , so to propose some suggestion for the establishment of Sports System Simulation science structure.

Abstract: A fault detection method applied to a redundant strapdown inertial navigation system, which usually undergoes rapid maneuvers, is developed in this paper. First, an improved four-points detection scheme that can significantly reduce the probability of false alarm of the generalized likelihood test(GLT) is present. Then, based on analyzing influences on the fault detection performance caused by the misalignment and scale fator errors and the random bias of a gyroscope, a parity vector error model is constructed and sequently the Kalman filtering scheme to compensate the parity vector error is designed. By example of a redundant measurement unit with four single-freedom-degree gyros, the fault detection method has been analyzed qualitatively and quantitatively through simulation tests. Simulation results demonstrate the favorable performance of the method.

Abstract: By adopting ship motion equation of rolling with single-freedom degree, together with coupled heave-pitch motion equation, the irregular oscillatory motion of maneuverability response in regular waves was numerically simulated in this paper. Based on the presupposition of harmonic wave encounter frequency, the concept of frequency scattering of wave encounter frequency was presented. The constant value, as well as intensity and frequency, of wave frequency of encounter were defined, and the dispersion relation of wave encounter frequency was deduced also. Furthermore, two kinds of mechanism for the frequency scattering resulted from the change of speed and wave angle respectively, were obtained.

Abstract: Several orthogonal feature extraction algorithms based on local preserving projection have recently been proposed. However, these methods don’t address the singularity problem in the high dimensional feature space,which means that the eigen-equation of orthogonal feature extraction algorithms cannot be solved directly. In this paper, we present a new method called Direct Orthogonal Neighborhood Preserving Discriminant Analysis (DONPDA), which is able to extract all the orthogonal discriminant vectors simultaneously in the high-dimensional feature space and does not suffer the singularity problem. Experimental results on ORL database indicate that the proposed DONPDA method achieves higher recognition rate than the ONPDA method and other some existing orthogonal feature extraction algorithms.

Abstract: The paper investigates kinds of classical Bayes classification arithmetic and summarizes their advantage and disadvantage, then introduces an improved weighted mixed Bayes classification model. It divides attribute sets into several subsets theorem. The subsets are trained by TAN (Tree Augmented Naive Bayes) and the results are integrated by weighted formula. At the same, the paper introduced a new method to compute the weights of attribute subsets. Finally, Experimental results show that this model has higher classification accuracy and practicability．

Abstract: A Multi-Agent based distributed fault diagnosis reference model is important for high speed and automation. Fault diagnosis and maintenance are vital aspects in industrial process, in this sense, fault diagnosis systems should support decision-making tools, new diagnosis approaches and techniques, updating of the devices. In this paper a Multi-Agent based fault diagnosis reference model is presented which combines the existing models and Multi-Agent. This model is based on a generic framework using Multi-Agent System; in this sense, the fault diagnosis problem is viewed like a feedback control process and the actions are related to the decision-making in the scheduling of the preventive maintenance task and the running of preventive and corrective specific maintenance tasks. As a result, a particular prototype design based on the JADE platform is obtained. This new model is compared to some important existing models and applied to a real investigation. This Multi-Agent based model provides a comprehensive treatment of the fault management problem, it can be used in any level of industrial environments and it can be integrated with the supervision applications without modifying the current automation architecture.