the investigation analyses of pathogenic vibrio in sea area of yalu river mouth

an estuary is where a river enters the ocean.

入海口就是河水汇入海洋的地方。

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residual current analysis of the yellow river mouth area in bohai gulf

渤海湾黄河入海口区余流特性分析

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conclusion the estuary was rich in marine actinomycetes resources;

结论青岛胶州湾河流入海口可能是海洋放线菌资源富集的区域；

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seasonal characteristics of planktonic copepods in 8 estuaries of pearl river

珠江八个入海口浮游桡足类的季节特征

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now, can anyone tell us what an estuary is?

有人能告诉我们入海口是什么吗？

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characterization of microbial vertical distribution in sediment from the estuary of the daliao river by the fish method

FISH方法解析大辽河入海口沉积物中微生物的垂直分布特征

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practice in the construction of skip load chamber

箕斗装载硐室施工实践

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finally, the cointegration model is constructed to reflect the relationship of tool wear and signal features by a series procedures such as unit root test and johansen test.

最后，运用协整建模方法建立起了信号特征与刀具磨损量之间的协整模型，这其中包括单位根检验和Johansen检验等过程。

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a supervised linear feature mapping network and its application in tool wear estimation

有监督线性特征映射（SLFM）网络及刀具磨损量实时估计

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the effects of cutting parameters, cutter wears and materials on cutting force are also focused on in the paper.

着重讨论了钛合金TC4高速铣削过程铣削力的问题，研究了切削参数、刀具磨损及刀具材料等对铣削力的影响。

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this article introduces a new computer vision inspection technology, automated visual inspection ( avi), which is used in tool wear inspection.

本文将计算机视觉检测（AVI）技术应用于刀具磨损的检测。

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the methods of tool's state monitoring and the basic theory of fractional brown movement ( fbm) were introduced.

介绍了刀具磨损状态的检测方法和分数布朗运动（FBM）的基本理论。

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the feature and the mechanism of tool wear for turning powder superalloy with cubic boron nitride ( cbn) bite are researched in this paper.

研究了用立方氮化硼（CBN）刀片车削粉末高温合金的刀具磨损特征及刀具磨损机理。

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the influence of cutting parameters was considered when the features sensitive to tool flank wear are extracted from the time series ar model. the principle of feature extraction was proposed.

在提取作为刀具磨损特征量的AR模型参数时，考虑了切削用量对模型参数的影响，提出了特征量选取的准则，使所提取的特征量更加实用化。

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with the development of fms, cims and other automation techniques, the new tool wears monitoring system which is more practical and reliable in critical demand.

随着FMS、CIMS等自动化技术的发展，迫切需要新型、实用、可靠的刀具磨损监控系统。

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two intelligent models with different mathematical characteristics ( anns and svm) are applied separately to recognize tool wear states and the results are fused to make the final decision.

以两种具有不同数学特性的智能识别模型ANN和SVM，分别对刀具磨损状态进行识别，并将识别结果进行融合得出最终决策。

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last, eds analysis of surface composition of cutters and cuttings was done. the wear patterns of cutters were also observed.

最后用EDS分析了刀具磨损表面及切屑的成份，并观察了刀具的磨损形貌。

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finally, according to the feature extraction, we build tool condition monitoring system based on rbf neural network to identify the tool wear state.

最后根据提取的特征参数，建立基于人工神经网络的RBF神经网络系统来对刀具磨损状态进行识别。

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the influences of quantity used in cutting and orientation of fiber on drilling force, tool wear and drilling precision were investigated, and the mechanism was analyzed.

考察了Al2O3短纤维和C短纤维含量、纤维位向、钻削速度及进给量对钻削力、刀具磨损和钻削精度的影响，并进行了分析。

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auto-monitoring of the tool wear and analysis on the wearing status have become the exigent problems in fms and cims.

自动监测刀具磨损、分析刀具磨损状况是FMS和CIMS中迫切需要解决的问题。

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