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信息畸变
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  “信息畸变”译为未确定词的双语例句
     As for the circumstances of incomplete or distorted FTU directed over-current information, solutions are given for each case. The first problem can be solved by ignoring the node with unknown information.
     分别针对得到的馈线终端设备(FTU)方向过流信息不完备及信息畸变这2种情况给出了解决对策:当故障信息不完备时,不考虑对应节点信息即可;
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  相似匹配句对
     Information model of construction machinery CAID
     信息
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     Information collection and using;
     信息
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     ,the distortion power N,the distortion angle (?)
     、畸变功率N、畸变角(?)
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     On the Distortion of the Complex Compound
     试论络合物的畸变
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     Lattice Distortion in Diamonds
     金刚石的晶格畸变
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  information distortion
Information distortion and competitive remedies in government transfer programs: The case of ethanol
      
The features of the dosimetric information distortion depending on the initial state of population of deep traps and the spectral composition and power of optical radiation are discussed.
      
Alternatively, firms can design management processes or incentives to mitigate information distortion.
      
Information distortion This research was sponsored in part by the National Science Foundation under contract number IIS-0219825.
      
Many companies have experienced failed attempts to reduce information distortion in supply chains.
      
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The printing process by a laser beam printer is described with process operator G and subprocess operator gi. A distortion function for Chinese character information is proposed, With a laser beam scanning system as an example, the distortion of characters information in the system is described and the way of eliminating the distortion suggested. The scanning displacement curve and press proof before and after revision are shown.

本文应用过程算符■和子过程算符■,描述了自行研制的激光印字机印字过程,指出了印字过程中文字信息的畸变函数,并以激光扫描系统为例阐述了该系统中文字信息产生的畸变,提出了消除畸变的途径,并给出了扫描位移曲线和校正前后的印刷实样。

In most practical application of fault diagnosis system ,misjudgem ent may be caused by real- time information distorted in the process of generation and transfer.This paper presents rough set RS based data mining m ethod to deal with distorted inform ation and to im plem ent the fault diagnosis of HV transm ission line system HVTL S .In this approach,the qualitative analysis ability of RS is used to analyze knowledge region data set and the reductions of RS are solved by a genetic algorithm GA .At same...

In most practical application of fault diagnosis system ,misjudgem ent may be caused by real- time information distorted in the process of generation and transfer.This paper presents rough set RS based data mining m ethod to deal with distorted inform ation and to im plem ent the fault diagnosis of HV transm ission line system HVTL S .In this approach,the qualitative analysis ability of RS is used to analyze knowledge region data set and the reductions of RS are solved by a genetic algorithm GA .At same time,this paper proposes the criterion to build testing sam ples,in order to get the assurance of fault tolerance perform ance of tested diagnosis system and have practical application potential of studied system .The higher fault tolerance perform ance of the proposed approach is confirmed through the com parison with that of NN- model based fault diagnosis system.

在大多数故障诊断系统中 ,由于诊断所依据的实时信息在其形成和传递过程中都有可能产生信息的畸变 ,从而导致故障诊断结果的错误。文中提出利用基于粗糙集理论的数据挖掘模型来处理实时输入信息的畸变和实现输电线系统的故障诊断 ,它是依据粗糙集定性分析能力对知识域的数据集进行分析 ,粗糙集的约简是通过遗传算法求取。还给出了构造测试样本的理论准则 ,从而使检验故障诊断系统的容错性能具有保证和真正的实用价值。通过仿真测试证明 ,基于数据挖掘模型的故障诊断与基于神经网络模型的故障诊断相比 ,具有更高的容错性能。

Considering the working condition of feeder terminal units in practical application of fault section diagnosis for distribution networks,the damage of FTU elements and the distortion of information are unavoidable,and incorrect diagnosis may be caused by distorted fault patterns.This paper presents a data mining method,which is based on the combination of rough set(RS) theory and genetic algornhm(GA),to deal with distorted information and carry out the fault section diagnosis of distribution networks.In this...

Considering the working condition of feeder terminal units in practical application of fault section diagnosis for distribution networks,the damage of FTU elements and the distortion of information are unavoidable,and incorrect diagnosis may be caused by distorted fault patterns.This paper presents a data mining method,which is based on the combination of rough set(RS) theory and genetic algornhm(GA),to deal with distorted information and carry out the fault section diagnosis of distribution networks.In this approach,RS is used to analyze the generalized fault knowledge region and GA is used to mine the redundant relation and internal relevant rules among input information and fault section diagnosis results The high fault to1erance performance of the proposed approach is proved through comparison with that of feedforward neural networks model based fault section diagnosis.

由于配电网故障定位所依据的故障信息来自于户外的 FTU,其运行环境较恶劣 ,元器件受损或信息丢失的可能性高 ,易形成变异故障模式 ,导致故障定位的错判 ,提出基于粗糙集 (RS)理论和遗传算法 (GA)相结合的数据挖掘 (DM)模型来处理实时输入信息的畸变和实现配电网的故障定位 .首先通过 RS对变异故障信息域的数据集进行划分 ,再用 GA挖掘出输入信息与故障定位诊断结果间冗余关系及内在关联性规则 .经仿真测试证明 ,基于 DM模型的故障定位与基于常规前馈神经网络 (FNN)故障定位原理相比 ,前者具更高的容错性能

 
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