| 1. | Novel data reconciliation model and gross error detection
一种新的数据协调模型及显著误差检测 |
| 2. | Data reconciliation and gross error detection in the performance monitoring of thermodynamic system
热力系统性能监测中的数据调和及不良数据检测 |
| 3. | The dissertation is concluded with a summary and prospect of future data reconciliation researches
0最后，在总结全文的基础上，指出了数据协调技术有待深入研究的若干问题。 |
| 4. | Application results show that the improved data reconciliation model is very effective and can be widely used in industrial processes
实际结果表明：本文所提出的数据协调和显著误差检测技术具有显著的应用价值。 |
| 5. | The above improved model has been applied to practical data reconciliation for a continuous catalytic reforming unit in an oil refinery
详细叙述了上述改进数据协调模型在炼油厂连续催化重整装置中的实际应用情况。 |
| 6. | A modified sicc ( serial identification with collective compensation ) method used in gross error detection and data reconciliation for chemical process is introduced in this paper
摘要提出了一种改进的sicc （顺序识别显著误差并同步补偿）算法。 |
| 7. | Simulation result demonstrates its feasibility and shows this method accompanied with data reconciliation can significantly reduce sensor network investment . 5
仿真结果说明了问题定义和求解方法的可行性和有效性，还表明这种结合数据协调的配置方法可以有效地节约配置费用。 |
| 8. | A unified algorithm for data merge and steady state detection was presented . 2 . for reaction process , a data reconciliation arithmetic based on atoms was developed
针对乙醛生产过程数据采集时间的多样性，提出了数据融合和稳态判断的联合算法；使用该算法对乙醛生产过程的数据进行融合、稳态检测，形成样本集合。 |
| 9. | For the existing test based on measurement residual , the main problem is that the data reconciliation procedure tends to spread the gross errors overall the measurements , which results in the detection failure
通过构造一个基于测量值比例关系的f统计量，并与约束残差统计量相结合，对稳态过程中出现的显著误差进行检测。 |
| 10. | So , data reconciliation can provide reliable information for cims . model is the basis of data reconciliation , and many difficulties encountered in data reconciliation industry applications have strong relationship with models
数学模型是数据协调的基础，在现场应用过程中遇到的许多棘手的问题，都与数学模型直接相关。 |
