应用Visual Basic实现点焊电流和压力的实时监测

动态多参数实时监测是电阻点焊质量在线评估的一种有效方法。采用Visual Basic6.0语言编程．通过80C196KB和PC机之间的串行通信，实现了对焊接电流和电极压力的实时检测，联机试验所生成的波形图实时反映了三相次级整流点焊的动态焊接过程以及曲线变化趋势与影响因素之间的对应关系，为点焊质量多参数监控奠定了基础。     

钢结构桥梁焊缝缺陷超声相控阵监测系统的研究

研制了针对钢结构桥梁焊缝缺陷扩展的超声相控阵监测系统。系统选用线阵密排式相控阵探头，通过计算优化了探头参数。设计了发射和接收电路，通过计算机控制实现探头各晶片阵元的延迟发射与接收。采用RS485和RS232总线实现检测数据的长距离传送。实验模拟和现场测试证明，该系统稳定可靠，有很高的实用价值。但该系统无法对长缺陷进行全面监测，可在此基础上进行二次开发。     

Numerical simulation on magnetic flux leakage evaluation at high speed

High-speed non-destructive inspection (NDI) systems using magnetic flux leakage method (MFL) is in great demand in online metal inspection and defect characterisation, especially in pipeline and rail track inspection. For MFL systems at high speed measurement, in addition to magnetic flux, eddy currents exist in metal specimen because of the relative movement between the probe and specimen. These currents alter the profile of electromagnetic field, which increases difficulty in signal interpretation and defect characterization. In this paper, eddy currents generated by high speed movement and their characterisation in high-speed MFL inspection systems were investigated by using numerical simulations. Besides, the MFL signals from high speed MFL measurement against defect depth were examined.     

交变漏磁检测中螺纹不同缺陷位置的识别方法研究

依据缺陷在螺纹区域的不同位置，将缺陷分为三类，分析了每类缺陷检测信号的特点，提出了识别判据，最后通过对膨胀螺钉上的该三类缺陷的检测，验证了识别模型的正确性。另外，对六角头螺栓结构根部缺陷的检测进行了试验研究，利用测量信号完成了缺陷的检测。     

基于机器视觉的在线轴承检测系统

文章在分析机器视觉系统应用的基础上,利用CCD摄像头、图像采集卡,运动控制卡,运动平台,计算机等组成在线轴承尺寸检测系统.介绍了系统的工作原理、软硬件的设计、实现.     

磁粉检验用标准试块的研制

介绍磁粉检验用B型和E型标准试块的设计、结构、研制、试验和应用。结果表明，两种标准试块都达到了国外同类标准试块的先进水平。     

Flame-Sprayed Glaze Coatings: Effects of Operating Parameters and Feedstock Characteristics Onto Coating Structures

Many substrates do not sustain the conventional glazing process (i.e., vitreous glazing) due to the relatively high temperature required by this treatment (i.e., up to 1400 °C in some cases) to fuse glazes after their application on the surface to be covered. Flame spraying could appear as a solution to circumvent this limitation and to avoid thermal decomposition of substrates. This contribution describes some structural attributes of glaze coatings manufactured by flame spraying. It also discusses the influence of the feedstock powder morphology and some of its physical properties on coating characteristics. This article is an invited paper selected from presentations at the 2007 International Thermal Spray Conference and has been expanded from the original presentation. It is simultaneously published in Global Coating Solutions, Proceedings of the 2007 International Thermal Spray Conference, Beijing, China, May 14-16, 2007, Basil R. Marple, Margaret M. Hyland, Yuk-Chiu Lau, Chang-Jiu Li, Rogerio S. Lima, and Ghislain Montavon, Ed., ASM International, Materials Park, OH, 2007.     

Digital arc welding power supply based on real-time operating system

A digital arc welding power supply was designed with the advanced reduced instruction set computer machine （ARM） and embedded real-time multi-task operating system micro C/OS- Ⅱ. The ARM, with its powerful calculating speed and complete peripheral equipments, is very suitable to work as the controller of the digital power supply. The micro C/OS- Ⅱ transplanted in ARM, helps to improve the respondent speed against various welding signals, as well as the reliability of the controlling software. The welding process consists of nine tasks. The tasks of great significance on reliability of the welder, for example, the A/D conversion of current and voltage, enjoy top priority. To avoid simultaneous-sharing on A/D converter and LCD module, two semaphores are introduced in to ensure the smooth performance of the welding power supply. Proven by experiments ,the ARM and the micro C/OS- Ⅱ can greatly improve both the respondent speed and the reliability of the digital welder.     

深度信念网络在故障指示器检测中的应用

电子产品在生产过程中需进行产品检测,以故障指示器的检测为例,结合深度信念网络(DBN)技术实现了自动检测.深度信念网络由于其具有无监督预训练的优势,将其应用于实际系统,对现场的故障指示器视频图像的动作状态进行了分类实验.实验结果表明:深度信念网络分类算法相比于支持向量机(SVM)分类算法和BP分类算法有明显的优势,正确识别率达到了100％.该算法在产品检验的应用中满足生产测试的要求,且降低了人工测试的劳动强度,缓解了视觉疲劳问题.     

变电站巡检机器人组合导航实验

巡检机器人应用于变电站的巡检工作,可提高变电站的智能化程度.导航和控制是机器人自主运行的重要组成部分,利用信息融合技术可在一定程度上弥补单个传感器在精确度和稳定性方面的缺陷,提高系统实用性.设计了系统的硬件平台以及相应的Kalman组合导航滤波算法,并进行了测试,结果表明,通过对GPS和INS进行信息融合,可提高导航的稳定性.