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1)  Complex Processes
复杂工况过程
1.
Statistical Process Monitoring Methods for Complex Processes
复杂工况过程统计监测方法研究
2)  complicated work condition
复杂工况
1.
Discussion of surrounding sealing method of vacuum preloading under complicated work condition
复杂工况条件下真空预压周边密封施工方法探讨
3)  complex industrial process
复杂工业过程
1.
The combined model of neural network and traditional mathematic models is studied in this paper to overcome the problems of calculation of parameter preset values of complex industrial process,and practical application of this method in process automation of hot rolling is emphatically analyzed and discussed.
针对目前复杂工业过程参数设定值计算模型存在的问题,研究了神经网络与传统数学模型相结合的组合建模方法,重点讨论了该方法在带钢热连轧生产过程参数设定值计算中的实际应用。
2.
According to the complexity of variation in a complex industrial process,the current measurement has dropped behind.
针对复杂工业过程中工况变化的复杂性与检测手段相对落后的难题,结合计算机多媒体与图像处理技术,提出了一类面向复杂工业过程应用的图像处理系统体系结构。
3.
To solve the problem of the diverse control requirements and turning the control parameters in the modern complex industrial process, an approach for parameter optimization was proposed.
针对复杂工业过程控制要求多样性、控制参数难调整的问题,提出了一种控制参数优化方法。
4)  complex industry process
复杂工业过程
1.
To the unstability of complex industry process control systems caused by model design,robust stability problems are discussed for singularly perturbed uncertain linear systems with time-delay.
为了解决复杂工业过程控制系统由于工程设计时模型描述的不完全性造成的不稳定,针对一类常见的奇异摄动时滞不确定线性系统,研究了其鲁棒稳定性问题。
2.
According to a large number of data in complex industry process, This paper analyses the applied basis of Data Mining (DM) and data characteristics with new views, discusses DM idea, puts forward integrated DM model, gives the future topics, provides a new path for complex industry process monitoring and control.
针对复杂工业过程中产生积累的大量数据,以新的视角分析了应用数据挖掘的基础和数据特点,讨论了数据挖掘的基本思想,提出了集成数据挖掘的模型结构,为复杂工业过程的监控开辟了一条新的途径并指出了要进一步研究的问题。
3.
A novel fuzzy quantitative data mining method based on time series is proposed for the fuzzy modeling of complex industry process.
针对于复杂工业过程领域模糊建模问题 ,提出了一种基于时间序列的模糊定量数据挖掘方法 ,并讨论了其在复杂系统模糊逻辑推理模型结构辨识中的应用 。
5)  complex processes
复杂过程
1.
A fuzzy modeling method based on the change relationship between process input and output data is presented for complex processes which are difficult to be mathematically modeled.
针对难以建立精确数学模型的复杂过程 ,提出一种基于过程输入输出数据变化关系的模糊建模方法。
2.
A fuzzy model identification method based on data characteristic is presented for complex processes which are difficult to be mathematically modeled.
针对难于建立精确数学模型的复杂过程,提出了一种基于数据特征的模糊模型辨识方法。
6)  complex process
复杂过程
1.
Owing to the essential differences of complex process with usual industrial process,it is difficult to get the satisfied results by the traditional fault diagnosis methods which depend on the exact mathematic model of the objects.
由于复杂过程与一般工业过程的本质区别,使得传统的依赖对象精确数学模型的故障诊断方法难以取得令人满意的结果。
2.
Owing to many factors, great fluctuations and intricate reactive mechanism of complex process, it is hard to get the satisfied results by the traditional fault diagnosis methods.
由于复杂过程因素多 ,波动大 ,反应机理复杂 ,无法建立精确的数学模型 ,传统的故障诊断方法很难取得令人满意的结果。
补充资料:复杂
(事物的种类、头绪等)多而杂:颜色~ㄧ~的问题ㄧ~的人际关系。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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