Applied Mechanics and Materials Vols. 121-126

Abstract: Wavelet neural networks (WNN) combine the functions of time–frequency localization from the wavelet transform and of self-studying from the neural network, which make them particularly suitable for the classification of complex patterns. Based on auto-regressive (AR) model and WNN, pattern recognition of prothesis movements was studied in this paper. Firstly, an AR model was used to analysis the surface myoelectric signals (SMES) which recorded on the ulnar flexor carpi and extensor carpi region of the right hand in resting position. Four types of prosthesis movements are recognized by extracting four-order AR coefficient and construct them as eigenvector into WNN, which was used to study the correlation between SMES and wristwork. This paper compares the classification accuracy of four movements such as hand open (HO), hand close (HC), forearm intorsion (FI) and forearm extorsion (FE).The experimental results show that the proposed method can classify correctly for at least 93.75% of the test data.

Abstract: This paper describes the research and implementation of ground source heat pump unit remote real-time monitoring system, researches in remote real-time monitoring system's overall design, hardware design, software design and implementation of OPC communication. The host computer takes advantage of the human-computer interaction interface of configuration software to achieve the remote real-time monitoring for ground source heat pump unit's running state; the lower computer uses data collector to intensively collect the data which is measured by field measuring instruments, and to achieve remote data transmission based on Ethernet, and then to carry out the communication between the host computer and the lower computer via OPC technology. The results show that the system achieves remote real-time monitoring of ground source heat pump unit, and is stable, easy to operate and provides a reliable basis for the actual energy saving effect's evaluation of ground source heat pump system.

Abstract: Aiming at NC milling processing error problem, ball-end milling cutter is taken as researching object, its the stressed deformation, heated deformation, tool wear and workpieces’ heated deformation are modeled. The milling comprehensive error at all coordinate directions are obtained with superposition method. Corresponding error prediction and compensation scheme are put forward, and milling error models are tested and verified through experiments, thus to make try cutting cost reduce and processing efficiency improve, to lay the foundation for NC milling machining simulation system improvement.

Abstract: For the sake of meeting the requirement of simulation applying and simulation surroundings changing, Simulation Software Architecture (SSA) always use the means of Software Reuse. Along with the expand of component stock, the size and the architecture of SSA become more and more complex. How to optimize the architecture becomes the problem when we exploit software. This text creates the concept model of SSA architecture, using reach-ability matrix, defining the concept of Component Contribution Degree (CCD) and Component Reliant Degree (CRD), provides the measure of quantitative analysis the architecture. In particular, this text gives the rule of optimize when we add or delete or coalition etc, it’s a fine strategy of developing software and optimize architecture.

Abstract: In this paper a specific circumstance is designed, in which two types of detectors are used for concentration of benzene vapor and result shows that two instruments gives the similar rule; Furthermore, absorption performance of three absorbers for benzene is studied by gravimetric method, then influence of enviroment temperature and gas-flow rate on absorption performance of optimal absorber for benzene are investigated and results show that such influence is clear.

Abstract: This paper studies the entity modeling method in Agent-based TBM combat simulation system. The architecture of the TBM combat simulation by using HLA/RTI platform has been build. According to the command hierarchy features of military operations, Agent entities are divided into three levels, and a semi-autonomous Agent model has been build. We present a Semantic-based multiple-layered military scenario development framework and implement a Semantic-based Military Scenario Development platform, which can support military commander to semi-automatically generate a military mission plan with MSDL document. Finally gives the flow chart of TBM combat simulation system.

Abstract: To solve the image feature information on the robustness of JPEG compression problems, we use the third layer of wavelet of images to decompose the approximation sub-band coefficients as the image feature information, analyze the characteristics of the discrete cosine transform in JPEG compression so as to compare the robustness of image feature information under different quality of JPEG compression. The experimental results show that: make the image compression quality factor more than the standard JPEG, the approximate sub-band coefficients of image wavelet as the image feature information has better robustness, and their difference is less than or equal to a smaller threshold.

Abstract: The two methods increasing the sample size are put forward for improving the routine monitoring test level of the ammunition: the first method is that increasing the sample size through improving the test level under the changeless confidence level; the second method is that increasing the sample size through improving the confidence level. The first kind error probability and the second kind error probability are decreased through two methods.

Abstract: To prevent the collision of tools and machine during the process of numerical control processing, reduce the number of cutting experiments and improve the production efficiency, it is a better way by using virtual simulation. This paper based on a mold cavity model of STL files, realized the numerical control programming based on Power Mill, researched the dynamic simulation process based on VERICUT, and at last verified the correctness and practicability of VERICUT simulation result by physical processing, which provided a reliable reference for physical machining.

Abstract: In accelerated degradation test, it is essential to establish a suitable degradation path model of the component. In order to predict the life accurately, it is critical to determine the sensitive parameters. A degradation path modeling method based on time series analysis was proposed in this paper. The sensitive parameters were determined by time series stationary test, and a time series ARIMA model was established for the degradation of sensitive parameters. Taking TL431 as an example, the accelerated degradation tests were carried out to investigate the degradation of its performance parameters, and a degradation path model was established for the parameters. The results indicate that the proposed method is feasible for accelerated degradation test.