Change detection of profile with jumps and its application to 3D printing
Change detection of profile with jumps and its application to 3D printing
复制标题
具有跳跃的轮廓变化检测及其在3D打印中的应用
DOI：
10.1016/j.cie.2019.106198
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发表时间：
2020
影响因子：
7.9
通讯作者：
Li Wendong
中科院分区：
文献类型：
--
作者：
Xiang Dongdong;Tsung Fugee;Pu Xiaolong;Li Wendong
三维（3D）打印或增材制造被广泛接受为一种颠覆性技术，近年来在制造业中越来越受欢迎。因此，3D打印的质量控制对于提高产品质量至关重要。在本文中，由一个新的3D打印应用与熔融沉积建模的动机，我们提出了一个变化检测程序，用于监测轮廓数据的跳跃，代表在某些位置的规则结构变化。具有相位变化性的沿着跳变使得轮廓监测具有挑战性，因为很难适当地联合收割机在不同轮廓中组合信息。首先，利用跳跃回归分析技术开发了跳跃检测程序。在检测到跳变后，提出了一种新的分段轮廓配准方法来消除相位变化。然后将关于跳跃、配置文件注册和注册配置文件的关键信息集成到指数加权移动平均制图方案中。我们使用模拟研究和实际数据分析，以显示所提出的控制图的效率。
Three-dimensional (3D) printing, or additive manufacturing, is widely accepted as a disruptive technology, and becomes increasingly popular in manufacturing industries in recent years. As a result, quality control of 3D printing is crucial to improve the quality of products. In this paper, motivated by a novel 3D printing application with fused deposition modeling, we propose a change detection procedure for monitoring profile data with jumps that represents regular structural changes at certain positions. Jumps along with phase variability make profile monitoring challenging because it is hard to combine information in different profiles properly. First, jumps detection procedures are developed by using jump regression analysis technique. After the jumps are detected, a novel piecewise profile registration procedure is suggested to eliminate phase variability. The key information on jumps, profile registration, and the registered profiles is then integrated into an exponentially weighted moving average charting scheme. We use simulation studies and a real-data analysis to show the efficiency of the proposed control chart.