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On the use of a laser Doppler vibrometer for quality control of picture tubes

机译:关于使用激光多普勒振动计对显像管进行质量控制

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Currently, the scanning laser Doppler vibrometer (SLDV) has become a standard laboratory tool for high spatial resolution vibration measurements. Though the quality of the measurement result is very high in well-controlled experiments, there are still some limitations on the application in harsh industrial environments. Firstly, the user interaction of available SLDV systems is too high, requiring trained personnel. But more important, laser drop-out can cause outliers in the measurements when non-treated (and often dark) surfaces are measured. These limitations prevent the real breakthrough of the SLDV in industry, notwithstanding the fact that a high potential exists for the use of the SLDV for quality control. In this article, a procedure will be developed to make the SLDV measurement process fully automatic and more robust. Firstly, an automatic laser calibration and component recognition method - that is based on newly developed image processing algorithms - is described. Secondly, a robust singular value decomposition (SVD) is introduced to eliminate laser drop-out from the measurements. The merits of the proposed methodology (measurement automation and robustification) for quality control purposes will be validated on SLDV measurements of a mask of a picture tube.
机译:当前,扫描激光多普勒振动计(SLDV)已成为用于高空间分辨率振动测量的标准实验室工具。尽管在控制良好的实验中,测量结果的质量很高,但在恶劣的工业环境中应用仍然存在一些局限性。首先,可用的SLDV系统的用户交互过高,需要经过培训的人员。但是更重要的是,当测量未经处理(通常是深色)的表面时,激光脱落会导致测量结果异常。尽管存在使用SLDV进行质量控制的巨大潜力,但这些限制仍然阻止了SLDV在工业上的真正突破。在本文中,将开发一种程序来使SLDV测量过程完全自动化且更可靠。首先,描述了一种基于新开发的图像处理算法的自动激光校准和成分识别方法。其次,引入了鲁棒的奇异值分解(SVD)以消除测量中的激光脱落。所提出的用于质量控制的方法的优点(测量自动化和鲁棒性)将在显像管掩模的SLDV测量中得到验证。

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