Applied Mechanics and Materials Vols. 401-403

Abstract: In the weld image acquisition system, real-time image processing has been a difficult design bottleneck to break through, especially for the occasion of large data processing capability and more demanding real-time requirements, in which the traditional MCU can not adapt, so using high-performance FPGA as the core of the high speed image acquisition and processing card, better meets the large amount of data in most of the image processing system and high demanding real-time requirements. At the same time, system data collection, storage and display were implemented by using Verilog, and in order to reducing the influence of edge detection noise, the combination of image enhancement and median filtering image preprocessing algorithm was used. Compared to the pre-processing algorithm of the software implementation, it has a great speed advantage, and simplifies the subsequent processing work load, improves the speed and efficiency of the entire image processing system greatly. So it proves that the system has strong ability of restraining the noise of image, and more accurate extracted edge positioning, it can be applied in the seam tracking field which need higher real-time requirements.

Abstract: According to the characteristics of vacuum circuit breaker contacts infrared image, put forward a kind of easy hardware implementation of the dynamic threshold Prewitt edge detection and refinement algorithm. Using DSP Builder designed realtime vacuum circuit breaker contacts quality realtime online detection system based on FPGA and used hardware circuit simulation in Matlab and Simulink environment, the simulation results show this design method has many advantages: the edges fine, positioning accuracy high and truly reflect the physical boundary. Realized the vacuum arcing chamber contact wear realtime online detection function, the abrasion of the vacuum arcing chamber contact timely is displayed to monitor staff, and ensured reliable work of the vacuum circuit breaker.

Abstract: Mid-wavelength infrared imager is widely used in the fields of security and detection with its unique band imaging characteristics, and it needs related studies of radiance calibration as to be used accurately and effectively. With the linear property of the infrared imager, which is the relationship between the input radiance and the output gray of the imager, the pupil radiance can be measured. Moreover, the surface temperature of the target in the image can be acquired combined with the surface characteristics. However, there is every possibility that the temperatures of the target change so much along with the day that it cannot be measured with just one linear field of the imager. This paper proposed an altering integral time method to measure temperature, which adapts to large temperature variations.

Abstract: In order to make a quantitative description for the running status of the scroll compressor, a fault diagnosis method of information entropy is proposed on the basis of the theory of entropy. This method is based on singular spectrum entropy in time domain, power spectrum entropy in frequency domain, wavelet power spectrum entropy and wavelet space feature spectrum entropy in time-frequency domain, which is used as the comprehensive appraisal index of quantitative feature for vibration status of scroll compressor. Under condition of invariable speed operation, the identification of natural frequency of is carried out. Meanwhile, the influence of the axial vibration of moving scroll, radial compliance mechanism and slight liquid slugging on the scroll compressor is analyzed quantitatively. Three forms of periodic cataclysm of moving scroll under variable speed operation and the variation of information entropy with rotational speed are disclosed.

Abstract: Quantitative analysis of soft soil microstructure in unloading levels are made by using scanning electron microscope (SEM) images, IPP and PS of image technology ,which includes image segmentation, pore size measuring and counting, three dimensional simulation of soft soil microstructure, etc. The results indicate that, with the increase of unloading grade, pore number and area of big aperture are in a sharp increase, the corresponding porosity also in ascension, so the deformation of the soil is mainly due to the change of pore; compared with the apparent 3d images of soil under the transverse profile in unloading levels. The results also indicate that, with the increase of unloading grade, pore area of cross section are in a increase.

Abstract: To solve the problem of infrared target recognition, byusing the complementarity of visible-light image and infrared-thermal imagery, thisarticle presents a kind of infrared thermal imagery segmentation technology. Segmentingthe target edges of visible-light images, and superimposing the edge on thecorresponding infrared thermal imagery, then segmenting the infrared thermalimagery by the improved weighted regions growing algorithm. After the testabout relevant parameters of the infraredthermal imagery, found that contrast enhancement and entropy increase, witchmaking it easy to split and recognize, and human eye subjective judgment isalso much easier. It put forward a new research method about infrared targetrecognition

Abstract: In order to solve the problem of knowledge acquisition in equipment fault diagnosis,the paper introduces a method based on improved particle swarm optimization. Firstly the paper transforms the nonlinear equations which describe the system into optimization problem with constriction. Since the equation is nonlinear and multidimensional ,standard particle swarm cant solve the problem due to the weakness of premature. So one improved particle swarm optimization is proposed. During the evolution, density evaluation, clone and mutation operator is proposed under the thought of immunity. The results of simulation show that the immune particle swarm optimization can simulate effectively and acquire the system knowledge.

Abstract: The CBWH (corrected background-weighted histogram) scheme can effectively reduce backgrounds interference in target localization. But it still has the problem of scale and spatial localization inaccuracy. To solve the above issues, we proposed a method which generates a color probability distribution by taking advantage of the targets salient features. In the binary image, we calculate the invariant moment and thus to resize the tracking window of the next frame. A simple background-weighted model updating method is adopted to adapt to the complex background in tracking. Experimental results show that the proposed algorithm improves the robustness of object tracking by self-adaptive kernel-bandwidth updating.

Abstract: We propose a quality inspection integration platform to solve the general problems of inspection reports. This paper describes the technological process of quality inspection, the function design of integration platform, the key technology and the physical architecture. We create an integration platform in J2EE development environment. The platform is very effective for the work of quality inspection.

Abstract: The envelope information is an important feature in EEG signal processing. This paper analyses the application of Hilbert transform and sliding window Infomax algorithm in envelope detection of EEG signals from different respects, and compares the classification results in left and right hand motor imagery. From the results, we see that, the signal envelope extracted by Hilbert transform is more accurate than sliding window Infomax algorithm, but the latter is superior in signal denoising, real-time ability and the richness of characteristics, sliding window Infomax algorithm has greater application potential.