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希尔伯特变换的英文

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"希尔伯特变换"怎么读用"希尔伯特变换"造句

英文翻译手机手机版

  • hilbert transformation
  • hilbert'stransform
  • hilberttransformation

例句与用法

  • Generalized analytic signal based on fractional hilbert transform
    基于分数希尔伯特变换的广义解析信号
  • The comparison of vibration signals ' time - frequency analysis between emd - based ht and wt method in rotating machinery
    希尔伯特变换和小波变换时频分析比较
  • There are two types of end effects in the empirical mode decomposition method : in the spline interpolation and in the hilbert transform
    2经验模态分解方法中,有两种端点效应:在样条插值中以及在希尔伯特变换中。
  • A method using transient frequency based on complex - analytical - wavelet - transform , which combines hilbert transform with wavelet transform and possesses adaptive analytical ability , is proposed
    该方法将希尔伯特变换与小波变换相结合,具有自适应分析能力。
  • Each demodulation analysis technique has its merits and limitations . in this paper , the principal and limitations of the hilbert transform and generalized detection - filtering demodulation analysis are systematically studied
    通过系统分析和对比现有几种解调分析方法各自的优缺点,本文深入研究了希尔伯特变换和广义检波滤波解调分析技术的原理、局限性及其工程中的应用。
  • The ship radiated noise is analyzed and its 4 features are extracted from the envelop spectrum . the envelope of ship noise waveform can be demodulated utilizing hilbert transform , and the spectrum components with line rotation frequency of propeller shaft are extracted effectively by bispectrum , 1 ( 1 / 2 ) spectrum and 2 ( 1 / 2 ) spectrum analysis
    对于通过希尔伯特变换解出的舰船辐射噪声包络信号进行高阶统计量分析,有效地提取出了舰船噪声的双谱、 11 / 2维谱、 21 / 2维谱等方面的特征。
  • Firstly , a method to estimate the rotor speed , which is based on bp neural network , is introduced in this paper . secondly , the park vector approach is used to monitor and diagnose the inter - turn fault of the stator winding . finally , this paper studies thoroughly a novel approach to detect rotor bar breaking fault , which is based on the perfect combination of the hilbert transform and digital filter
    具体工作如下:采用bp神经网络对异步电动机转子转速进行无速度传感器估计;对定子绕组匝间短路故障,采用派克矢量方法进行监测与诊断;对于转子断条故障,详细介绍了一种新的基于希尔伯特变换与数字滤波的在线监测方法。
  • It can also determine the fault spot and reason . this technology has been used in some technological fields and proved efficient . it has promoted the revolution of maintance system and the historial protection is replaced by preventive maintenance . with this technology , we can improve the reliability of machine and decrease the maintance fee . recently , reserch has pick up a fervent pace in the area of fault diagnosis of electrical machines . the paper simply analyzes the fault reason of electrical machines , stressly describes and explores the methods of condition monitoring and fault diagnosis such as partial discharge , stator current , rotating speed , vibration etc . fault prognosis is now include diagnostic feature , reason , spot . prodigious improvement in signal processing hardware and software has made this possible . primarily , these techniques depend on locating specific harmonic components of the fault . these harmonic components are usually diffirent for diffirent types of faults . automated tools such as fuzzy logic based system is also simply presented in the paper
    本文从绝缘结构的故障机理入手,以绝缘结构故障的典型特征? ?局部放电为研究对象,重点讨论局部放电的在线监测方法、适用场合并比较它们的优缺点;在分析笼型异步电机转子断条在线监测的定子电流监测方法后,根据其缺陷,本文探讨了温升不平衡法、希尔伯特变换数字滤波、小波包分析法的原理及优点;以电机轴承、气隙偏心等故障为研究对象,通过对电机振动和转速频率的检测,诊断电机的故障类型;本文的重点工作是将人工智能技术中的模糊技术应用于电机的状态监测和故障诊断中,力求使电机故障诊断更接近人工智能化;最后,本文对电机状态监测和故障诊断系统进行了硬件和软件初步设计,为实现预测维修提供了有效的技术手段。
  • 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。
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