助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   sliding data window 的翻译结果: 查询用时:0.147秒
图标索引 在分类学科中查询
所有学科
航空航天科学与工程
武器工业与军事技术
动力工程
更多类别查询

图标索引 历史查询
 

sliding data window
相关语句
  滑动数据窗
     Using the digital signal processing technique and the algorithm of the sliding data window, the technique provides correct and noise free estimates for near nominal, nominal, and off nominal frequencies in about 40Hz. The proposed technique can be economically implemented with the presently technology available.
     该方法基于数字信号处理技术 ,采用滑动数据窗算法 ,能对电源频率附近 4 0Hz范围内频率信号进行正确地无噪声检测 ,并易于用现有技术实现。
短句来源
  相似匹配句对
     DATA
     数据
短句来源
     The security of sliding window data transfer
     滑动窗口数据传输的安全问题
短句来源
     Modeling analysis for characteristic data of sliding bearings
     滑动轴承性能数据的建模分析
短句来源
     Fault-Tolerant Sliding Predictor for Sampled Data Series
     采样时间序列的滑动递推容错预报算法
短句来源
     Clustering Evolving Data Streams over Sliding Windows
     基于滑动窗口的进化数据流聚类
短句来源
查询“sliding data window”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  sliding data window
The sliding data window case, which involves downdating as well as updating, is considered else-where.
      
The length of the sliding data window and the set of employed signals are the only parameters to be optimized in such an approach.
      
Subsequent steps of reasoning on a sliding data window will derive the same semantic net, provided the window is suciently large for rules to apply.
      
No sliding data window is applied only the most recent samples are fed.
      


Presents a GA-HCM hybrid clustering algorithm with two leveled "director-student"type of intelligent hierarchy, considering the fatal drawbacks of HCM clustering algorithm due to itssubjectivity to the initial values and learning rate. This GA-HCM hybrid clustering algorithm uses theGenetic Algorithm to select the initial seed solutions f0r the HCM algorithm, which is used to preevaluate the initial seed solutions' fitness. Meanwhile, this hybrid algorithm has been implemented inthe particular fault detection...

Presents a GA-HCM hybrid clustering algorithm with two leveled "director-student"type of intelligent hierarchy, considering the fatal drawbacks of HCM clustering algorithm due to itssubjectivity to the initial values and learning rate. This GA-HCM hybrid clustering algorithm uses theGenetic Algorithm to select the initial seed solutions f0r the HCM algorithm, which is used to preevaluate the initial seed solutions' fitness. Meanwhile, this hybrid algorithm has been implemented inthe particular fault detection and diagnosis framework specially designed by us before, in order toevaluate its Performance as a multivariate clustering means for the sliding data vectors window. Thenumerical simulation result shows that this hybrid algorithm is capable of finding a globally optimal ornear-optimal clustering centroids for the sliding data window fast than the only Genetic Algorithm oronly HCM, and completely overcome HCM'S drawbacks listed above. The detection ability for theincipient fauIts ensures it a perspective and practical fault detection algorithm.

针对HCM聚类算法对初始值和学习参数具有较强依赖性的缺点,提出了GA-HCM混合聚类算法。应用改进的基因算法为HCM算法选取初始种子解,使滑动数据窗上的聚类算法以功能层次分明的“导师一学生”制智能结构出现,从而实现了“精”与“初”相结合的解空间搜索算法,使HCM聚类算法能较快收敛到问题的最优解。同时针对液体火箭发动机系统动力学的特殊性,利用我们提出的一种适用于离线或在线系统故障检测与诊断的算法框架,基于实际试车数据对GA-HCM混合聚类算法进行了准实时的数字仿真。仿真结果表明该算法基本上克服了HCM算法的缺点,能有效地用于液体火箭发动机的事后故障分析或在线故障诊断。该故障诊断框架能区分干扰噪声、永久性故障或间歇性故障所引起的异常数据现象,并能形成当前系统的故障特征模式。对缓变故障的早期检测能力使该算法框架极富应用前景。

This paper proposes a definition for the fuzzy entropy of clustered result, i.e., the fuzziness measure of a fuzzy set, and based on this definition, the definition for a measure of the distribution divergence of the sampled data vectors is also given in this paper for the first time. The divergence definition offers an ideal and objective criterion about whether there exist heavily interfered data vectors in the sliding data window for the Adaptive Windowing Filter. Thus, the noise discrimination ability...

This paper proposes a definition for the fuzzy entropy of clustered result, i.e., the fuzziness measure of a fuzzy set, and based on this definition, the definition for a measure of the distribution divergence of the sampled data vectors is also given in this paper for the first time. The divergence definition offers an ideal and objective criterion about whether there exist heavily interfered data vectors in the sliding data window for the Adaptive Windowing Filter. Thus, the noise discrimination ability has been much improved, and this increases the robustness of the fault detection algorithm to the strong noises and the sensitivity to subtle fault transients. In addition, the directional similarity between the two clustered centroid vectors (corresponding to the sliding data window) has been employed to detect faults and distinguish the intermittent faults from the failure. The practical testing data with strong noises have been used to verify its efficiency and objectivity in the fault detection and discrimination from the noised data vectors.

先定义系统的广义模糊熵及其计算公式,再给出滑动数据窗口中采样数据矢量方向分布中心的离散度定义及其与模糊熵之间的负指数解析关系,并基于离散度概念对自适应窗口滤波器进行了改进,提高了滤波器对噪声的敏感度以及故障检测算法对强干扰噪声环境的鲁棒性。同时,根据滑动数据窗口中二模糊聚类数据中心矢量方向相似度的变化来监示发动机系统故障的发展趋势。本文基于受强噪声环境干扰的实际试车数据并用自组织模糊聚类算法作为滑动数据窗口上的聚类算法进行了数字仿真试验。仿真结果表明:基于模糊熵的故障检测算法具有对强噪声环境的鲁棒性,是低信噪比环境下的一种客观的故障检测算法。

The common method of measuring a power system operating frequency is easily affected by the noise and harmonics. This paper describes a new technique for measuring the operating frequency of a power system. Using the digital signal processing technique and the algorithm of the sliding data window, the technique provides correct and noise free estimates for near nominal, nominal, and off nominal frequencies in about 40Hz.The proposed technique can be economically implemented with the presently technology...

The common method of measuring a power system operating frequency is easily affected by the noise and harmonics. This paper describes a new technique for measuring the operating frequency of a power system. Using the digital signal processing technique and the algorithm of the sliding data window, the technique provides correct and noise free estimates for near nominal, nominal, and off nominal frequencies in about 40Hz.The proposed technique can be economically implemented with the presently technology available. The design, algorithm, and implementation of a digital signal processing technique for measuring frequency are presented in the paper.

常规的测量电源系统工作频率的方法易受噪声和谐波的影响。该文介绍一种用来测量电源系统工作频率的新方法。该方法基于数字信号处理技术 ,采用滑动数据窗算法 ,能对电源频率附近 4 0Hz范围内频率信号进行正确地无噪声检测 ,并易于用现有技术实现。文中详细介绍了该测量系统的设计、算法以及采用数字信号处理技术的实现方法。

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关sliding data window的内容
在知识搜索中查有关sliding data window的内容
在数字搜索中查有关sliding data window的内容
在概念知识元中查有关sliding data window的内容
在学术趋势中查有关sliding data window的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社