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  • 匿名
关注:1 2013-05-23 12:21

求翻译:In this work, two methods, referred to as the Gaussian probability design and the fuzzy boundary design, are proposed for designing the second set of training data mentioned above. In order to test the efficiency of the proposed design methods, the designs will be compared to a conventional factorial design. Finally, the methods are illustrated and compared for a CSTR case study. This case study, previously used (Baughman & Liu, 1995) for testing fault detection algorithms, considers faults as extreme values in the inlet temperature and concentration conditions. These conditions are inferred from the measurements of reaction temperature and concentration.是什么意思?

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In this work, two methods, referred to as the Gaussian probability design and the fuzzy boundary design, are proposed for designing the second set of training data mentioned above. In order to test the efficiency of the proposed design methods, the designs will be compared to a conventional factorial design. Finally, the methods are illustrated and compared for a CSTR case study. This case study, previously used (Baughman & Liu, 1995) for testing fault detection algorithms, considers faults as extreme values in the inlet temperature and concentration conditions. These conditions are inferred from the measurements of reaction temperature and concentration.
问题补充:

  • 匿名
2013-05-23 12:26:38
在这项工作,两个方法,称为高斯概率设计和模糊边界设计,建议设计培训数据上文所述的第二套。方法,以便测试效率的建议的设计,设计将与传统的析因设计进行比较。最后,方法是说明和比较 CSTR 的案例研究。本案例研究,以前使用 (Baughman & 刘,1995年) 测试故障检测算法,认为故障作为入口的极值温度和浓度的条件。这些条件被推断反应温度和浓度的测量。
 
 
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