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Phase I monitoring of optical profiles with application in low-emittance glass manufacturing

机译:在低膨胀玻璃制造中应用光谱的I阶段监控

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摘要

Low-emittance (low-E) glass is an energy-efficient glass productwhich can reduce heat loss by reflecting most infrared radiation. Great benefit in energy savings has made low-E glass manufacturing an important sector of the glass industry. In the manufacturing process, optical profiles collected on the surface of products are widely available quality measurements. However, the current quality inspection scheme uses simple summaries of the optical profile data and may not perform well in detecting changes. This study considers monitoring of optical profiles directly and develops a methodology for Phase I analysis of such data. The proposed method uses a piecewise polynomial random-coefficient model to characterize optical profiles and a T2 control chart to monitor estimates of random effects in each piece. A procedure to segment the profiles is provided. We also investigate the problem caused by high correlations of random effects and propose a remedy based on regressor transformation. The numerical study and case study show that the proposed method is suitable for the data and able to identify outlying profiles.
机译:低膨胀(低e)玻璃是一种能节能的玻璃产品,可以通过反射大多数红外辐射来减少热量损失。节能的巨大好处使低E玻璃制造了玻璃行业的重要部门。在制造过程中,收集在产品表面上的光学型材是广泛的质量测量。然而,当前的质量检查方案使用光学轮廓数据的简单摘要,并且在检测变化时可能不太顺序。本研究考虑直接监测光学型材,并为该数据的阶段分析开发一种方法。所提出的方法使用分段多项式随机系数模型来表征光学配置和T2控制图,以监测每件作品中的随机效应的估计。提供了段的过程。我们还研究了随机效应的高相关造成的问题,并提出了一种基于回归转换的补救措施。数值研究和案例研究表明,该方法适用于数据并能够识别偏远的简档。

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