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Research on Fault Diagnosis of Flexible Material R2R Manufacturing System Based on Quality Control Chart and SoV

机译：基于质量控制图和SoV的柔性材料R2R制造系统故障诊断研究

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摘要

The Stream of Variation (SoV) model and control chart are combined to study the fault diagnosis method of flexible materials R2R manufacturing system. Based on the analysis of the correlation between the fault source and product quality in the manufacturing process and also the statistical distribution rule of the processing quality characteristic vector L-i and the fault source f(i), SoV model under controlled or uncontrolled states and the mathematical model of the probability distribution of the statistic T-i,m(2) of the quality characteristic variable L-i are deduced. And the calculation equation of the centerline, the upper limit, and the lower limit of the control chart are deduced. The experimental results show that, under controlled or uncontrolled condition, when the program runs to 500 steps, the Average Run Length (ARL) of the performance parameters tends to be stable; and when program reaches 1000 steps, the actual ARL value is almost the same as the theoretical value. The fault diagnosis experiment shows that, under the condition when the fault source is strongly correlated or the fault source correlation coefficient is the same, using the control chart established in this paper can simply and quickly determine the fault location in the system.
机译：结合变异流模型和控制图来研究柔性材料R2R制造系统的故障诊断方法。在分析制造过程中故障源与产品质量之间的相关性以及加工质量特征向量Li和故障源f（i）的统计分布规律的基础上，研究了受控或非受控状态下的SoV模型以及数学方法。推导了质量特征变量Li的统计量Ti，m（2）的概率分布模型。并推导了控制图的中心线，上限和下限的计算公式。实验结果表明，在受控或非受控条件下，当程序运行到500步时，性能参数的平均游程长度（ARL）趋于稳定。当程序达到1000步时，实际ARL值几乎与理论值相同。故障诊断实验表明，在故障源强相关或故障源相关系数相同的情况下，使用本文建立的控制图可以简单，快速地确定系统中的故障位置。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第6期|6350380.1-6350380.8|共8页
  • 作者

    Deng Yaohua; Zhou Na; Liu Xiali; Lu Qiwen;

  • 作者单位

    Guangdong Univ Technol, Sch Electromech Engn, Guangzhou, Guangdong, Peoples R China;

    Guangdong Univ Technol, Sch Electromech Engn, Guangzhou, Guangdong, Peoples R China;

    Foshan World Intelligent Technol Co Ltd, Foshan 528000, Foshan, Peoples R China;

    Foshan World Intelligent Technol Co Ltd, Foshan 528000, Foshan, Peoples R China;

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