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基于emd的英文

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"基于emd"怎么读

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  • emd gp40-based passenger diesels

例句与用法

  • 4 . emd can decompose signal in different scale components , an effective algorithm of multiscale technique for detecting edges in sar images is proposed based on the character of emd
    利用emd方法能将信号分解为不同尺度的成分,利用emd方法的这个特性,研究基于emd方法sar图像多尺度边缘提取方法。
  • 5 . a speckle filter based on emd is proposed , it smooth along edge direction in edge area and compute mean of square area in homogenous region , therefore this method can reduce speckle while preserve edge in sar images
    提出了基于emd方法的sar图像斑点滤波方法;这个方法在边缘区域沿着边缘方向平滑,在同质区域在方形窗口内取平均,因此这个方法在去除斑点同时能够有效保持边缘。
  • Chaper six compared the emd - based time - frequency analysis method to the typical ' s : short time fourier analysis , wigner distribution and wavelet anlysis , the result showed that the emd - based ' s is better than the others . to weaken the crossing interfere in multi - components signal in wigner distribution the emd - based wigner distribution was proposed and the study result showed that the method is valid . chapter seven built a experiment system at the base of rotor test bed , discussed characteristics of several typical fault in rotating m
    第六章把基于emd的时频分析方法分别与短时傅里叶变换、 wigner分布分析、小波变换进行了比较研究,结果表明,基于emd时频分析方法比上述方法有效;针对wigner分布分析的交叉项干扰,提出了基于emd的wigner分布分析新方法,研究结果表明新方法能有效地消除交叉项干扰。
  • To solve this problem , some researches on denoising for the nonstationary and noisy - strong signal are carried out in this paper . combining hilbert - huang transform ( hht ) which has been proved to be more valid in the aspect of time - frequency analysis , with mature wavelet transform ( wt ) threshold theory , an emd - based wavelet threshold denoising algorithm is presented
    针对这个问题,本文也开展了对信噪比较低的含噪非平稳信号的去噪研究工作,并将具有比小波变换更强时频分析能力的希尔伯特?黄变换( hht )与成熟的小波阈值理论相结合,提出基于emd的小波阈值去噪算法。
  • First of all , the emd - based wavelet threshold denoising algorithm is apllied to denoise noisy structural response data to reduce the effect resulting from noise . during the process of the empirical mode decomposition ( emd ) , the two boundaries of the response signal are processed with semi - periodical ? semi - symmetrical method . subsequently , hilbert - huang transform ( hht ) is used in identifying structural intrinsic frequency
    这套技术用以解决实际工程应用中遇到的在信噪比较低情况下通过结构的响应信号来进行结构损伤识别问题,即先用基于emd的小波阈值去噪算法对含噪结构响应进行去噪处理,以有效降低噪声影响(在去噪的emd处理过程中,对信号的边界采用“半周期半对称”延括算法来抑制边界误差) ,然后再用希尔伯特?黄变换( hht )进行结构的固有频率识别,最后计算出结构刚度。
  • The details were studied as follows : chapter one explained the importance of the rotating machinery faults diagnosis oriented time - frequency analysis study and briefly introduced the general situation of faults diagnosis of the rotating machine . the developing and the current situations of the time - frequecy theories were summarized . at last , the way of study , the main contents , general structure scheme and innovation points of this dissertation were presented
    全文的主要研究内容如下:第一章论述了面向旋转机械故障诊断时频分析的研究意义;介绍了旋转机械故障诊断理论与技术概况;综述时频分析方法的发展及其在机械故障诊断中的应用及存在问题;介绍了基于emd的时频分析方法及国内外研究现状,以及把该方法引入旋转机械故障诊断的重要性;最后,提出了本文的研究思路与研究内容,并给出了本文的总体框架和创新之处。
  • We first research how speckle in sar images influences the modes obtained from sar images by emd . we found that speckle in sar images influences the first and the second mode . the speckle filter and multiscale edge detection technique are proposed respectively based on the effects of speckle on the modes
    这一章首先简要介绍了emd方法,以真实sar图像数据和模拟数据分析了斑点对emd各个模态的影响;以此为基础,研究了基于emd方法的sar图像多尺度边缘提取和斑点滤波方法。
  • Based on the " research on the new method for rotating machine faults diagnosis based on independent component analysis " ( national nature science fund project , no : 50205025 ) and " study on the new method of corba - based distributed calculation tactics construction in remote condition monitoring and diagnosis " ( zhejiang province nature science fund project , no : 501061 ) , this paper aimed to the rotating machinery faults diagnosis oriented time - frequency analysis . the emd - based basic theories and methods were studied ; to weaken the emd method ' s end effect , some new data extention means were proposed ; to improve the emd method ' s precision and efficiency , some new algorithms were proposed ; the emd based time - frequency analysis software was designed and developed ; a experiment system at the base of rotor test bed was built to study the ro tor faults diagnosis using the new time - frequency analysis method , then studed several typical faults
    本文结合“基于独立分量分析的旋转机械故障诊断新方法的研究”国家自然科学基金项目( 50205025 )和“基于corba分布计算策略构建远程监诊的新方法研究”省自然科学基金项目( 501061 ) ,以面向大型旋转机械故障诊断的时频分析为目标,研究了该方法的基本原理和算法:针对其端点效应等不足,提出了新的数据延拓技术;针对emd算法的精度和速度上的不足,提出了新的改进算法;设计和开发了基于emd时频分析的软件系统;以模拟转子实验台为基础构建了实验系统,并进行了实验研究。
  • Chapter two introduced the basic ideas of emd theories briefly , and then discussed the emd - based time - frequency analysis method ' s basic agrithom . the conclusion was deduced that the method is valid in the field of signals processing and fault diagnosis in rotating machinery by simulation and real signal analysis . chapter three discussed the origin of emd method ' s end effect , then studied the direct , time - series based and neuron network based data extention technologys to weaken the end effect
    第二章介绍了基于emd时频分析方法的一些基本概念;阐述了emd方法和基于emd的希尔伯特变换的基本原理和算法;在此基础上,用基于emd的时频分析方法对仿真和实际信号进行了分析验证,结果表明把该方法引入旋转机械振动信号时频分析和故障诊断领域是有效的。
  • At last , the valid data based fast emd algorithm was proposed . chaper five aimed to the requirement of the emd based time - frequency analysis in the field of rotating machinery signal analysis and fault diagnosis . studied the method of rotatory speed prediction to improve the precision of complete period sampling of vibration signals in rotating machinery , then , discussed the phenomenon of mode fission in noise signal anlysis by emd and provided the filter method to weaken the phenomenon . after then , found a process to analysis the signals using emd - based method in the field of rotating machinery signal analysis and fault diagnosis
    第五章针对旋转机械信号进行emd时频分析的要求,提出了提高整周期采样精度的预测算法和适合于单片机计算的近似公式;论述了模态裂解现象,并通过仿真信号和实际信号的研究,提出了使用滤波技术来减弱模态裂解现象的方法;给出了适合于旋转机械振动信号基于emd时频分析的工作步骤;研究了基于emd的旋转机械振动信号自适应滤波技术。
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