特徵信號 的英文怎麼說

中文拼音 [tèzhǐxìnháo]
特徵信號 英文
characteristic signal
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 號 : 號Ⅰ名1 （名稱） name 2 （別號; 字） assumed name; alternative name3 （商店） business house 4 （...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. The if digital receiver based on software radio technology adopts the structure of fpga plus dsp, which is more powerful than other systems in signal processing, and is able to complete iq demodulation accurately and acquire characteristic of the signal. the following four aspects is included :

    該中頻數字接收機以軟體無線電思想為核心，採用dsp + fpga的硬體結構，在信號處理能力方面比以往的系統有了很大的提高，能夠精確的完成信號正交解調和抽取濾波和特徵信息的提取。
  2. Adopting the method of time domain and frequency range, the breakdown characteristic signal is analyzed, and the information of the abnormal state of valve clearance is obtained

    並採用時域，頻域的分析方法對故障特徵信號進行分析，從而得到氣門間隙異常狀態的信息。
  3. The corrosion current and impressed against - corrosion current of a ship modulated by shaft ' s rotation will generate an extremely low frequency electric field ( elfe ) which becomes a kind of important characteristic signal in sea water

    摘要艦船的腐蝕和防腐電流經螺旋槳轉動的調制后在海水中會?生極低頻電場，成?一種重要的特徵信號源。
  4. The current radar scout system has some problems for processing multiform signals, confronting the complex electromagnetic environment and various radar characteristic signals. the adaptive front - end in receiver can solve these problems, and this dissertation analyzes it

    面對日趨復雜的電磁環境以及變化繁多的雷達特徵信號，現有的雷達偵察接收系統對多種信息的處理顯得力不從心，本文從接收機前端考慮，對其中的一種解決方法? ?自適應的接收機前端進行分析、研究。
  5. The balanced multiwavelet was studied. for low - pass matrix filter p ( ), the orthogonal matrix r was selected to ensure the constant signal as a characteristic signal of balanced low - pass matrix filter rtp ( ) r, the corresponding balanced high - pass matrix filter is q ( ) r or rtq ( ) ) r which maintain the orthogonality and symmetry or orthogonality only respectively. as an application, the optfr - multiwavelet constructed by jiang was balanced and applied to image denoising and fusion

    研究了多小波的平衡處理，對低通濾波器p （ ）一般選擇平衡器為正交矩陣r ，使得常數信號成為平衡后的低通濾波器r ~ tp （ ） r的特徵信號，若要保持矩陣濾波器的正交性和對稱性，可選擇平衡后的高通濾波器為q （ ） r ；若只保持多小波的正交性，可選擇高通濾波器為r ~ tq （ ） r 。
  6. Secondly, the wavelet transform of ae signals collected in experiment is carried out with db6 wavelet and scale 3 on the basis of the signal ' s frequency analysis. the high frequency d, signal is ae characteristic signal. and by choosing the level ' s wavelet coefficient as its input, the wavelet - neural networks can be trained with the data of ae experiment, and the ae signals can be effectively recognized

    然後，在實驗與對實驗所採集數據頻譜分析基礎上，根據對小波分析用於信號處理可行性研究，本文選擇db6母小波、尺度j = 3對實驗所採集數據信號進行小波變換，變換后其高頻成分d _ 1信號即為聲發射特徵信號。
  7. And an intelligent fault detecting system is established. starting from analyzing the possible faults existed ; relations between the fault patterns of the wall - climbing robot and the characteristic signals are established. so the problem of fault detection of the robot is in essence a problem of pattern recognition

    主要內容如下：對壁面機器人的可能故障進行分析，總結系統可能的故障類型，並選擇體現不同故障類型的特徵信號，構建系統的故障空間和故障徵兆空間，建立了兩者之間的映射關系，並在此基礎上制定了故障診斷方案。
  8. The reassigned smoothed pseudo wigner - ville distribution ( rspwvd ) is introduced, which has less interference and higher resolution than other time frequency distributions like wigner - ville, choi - williams etc. it is used to detect the multi - knocking of engine such as cylinder, piston pin, valve, crank bearing, connecting rod bearing and jib knocking. a new fault diagnosis technique based on the rspwvd for the engine multi - knocking problem is proposed. by comparing the bispectrum and bicoherence of the gear vibration signals, it is demonstrated that bispectrum has an advantage over bicoherence for feature extraction of such signals

    第四章首次引入一種重分配方法，得到干擾項少而解析度高的重分配平滑偽魏格納維爾分佈（ rspwvd ） ；對發動機曲軸主軸承響、連桿軸承響、活塞銷響、活塞敲缸響、氣門響和挺桿響等常見機械異響故障振動信號特徵進行了全面地比較分析；通過對各種異響故障特徵信號的分析研究，提出基於rspwvd的發動機多異響故障診斷策略，利用該策略可以準確識別不同的發動機異響故障。
  9. An automated de - noising algorithm based on the energy of wavelet packet not donoho ' s threshold algorithm is established. a gear feature vibration signal extraction method using the wavelet packet energy is proposed, which can separate gear meshing vibration, noise vibration and gear fault vibration signal from the original gearbox case vibration signal. basis pursuit ( bp ) algorithm is introduced into the filed of mechanical signal de - noising and feature extraction for the first time

    第三章擺脫了donoho的閾值消噪思想，從能量的角度建立了基於小波包的自動消噪演算法；提出基於小波包能量分佈的齒輪故障特徵信號提取方法，可以將齒輪嚙合振動信號、干擾振動信號以及故障沖擊振動信號從原始齒輪振動信號中分離出來；首次將基追蹤消噪演算法引入到機械故障信號的消噪與特徵提取上，通過對齒輪故障信號的消噪，表明了它的有效性，並對影響該方法實際應用效果的因素進行了全面的分析，同時也指出了該方法存在的局限性。
  10. At present, usual method of fd is measuring vibration signal as system feature signals for fault characteristic eigenvectors pickups

    故障診斷常用的方法是以泵缸體上的振動信號作為系統特徵信號來提取故障特徵向量。
  11. After the event - by - event charged particle ratio fluctuations were proposed by s. jeori, v. kock et al. as a signature of qgp formation, it had evoked extensive interesting theoretically and experimentally

    Kock 、 m人sakawa等人提出荷電粒子比的單事例起伏可以作為qgp形成的特徵信號后，引起了理論和實驗物理學家的） 』 「泛興趣。
  12. The character of boiler combustion system and the causes of the faults are analyzed in detail. character signals which shows the status of boiler is extracted and the rule base for fault diagnosis is established

    首先詳細分析了鍋爐燃燒系統故障的特點和產生這些故障的原因，並提取出能反映系統狀態的診斷特徵信號，建立故障診斷規則庫。
  13. The image - based measurement technique is one kind of novel noncontact measurement technique, which develops from the computer vision realm and primarily regards images as the carrier and means to detect or transfer the information. the image - based measurement technique can bring us the actual information of the examined object after dealing with the characters detected from the images

    基於圖像的測量技術是從計算機視覺領域中發展起來的新型非接觸測量技術，它主要是把圖像當作檢測和傳遞信息的手段或載體而加以利用的測量方法，通過提取圖像的特徵信號，最終從圖像中獲取被測對象的實際信息。
  14. The paper creatively proposes the idea ofusing ordinary pressure signals ; ( pressure in valve boxes ) as system feature signal to pickup fault characteristic eigenvectors and verifies the correction of the method through self - correlation analysis in the time - zone and power spectral and wavelet packet analysis in the frequency - zone

    為此，本文創造性地提出以常見的壓力信號（閥箱內的壓力）作為系統特徵信號來提取故障特徵向量的方法。這種方法信號測取簡單、處理方便，有著振動信號方法無法比擬的優點。
  15. De - noising of ecg signal based on stationary wavelet transform

    基於小波變換的腦電特徵信號自動檢測方法
  16. Two primary mathematical tools used in this dissertation are principal component analysis ( pca ) and blind signal analysis ( bsa ), which are both data - driven methods. pca is not only used as feature extracting method ( where process variables are subjected to multivariate normal distribution ), but also as a tool for dimension reduction ; bsa is used to extract independent features or process blind source signals from process information in information theory sense, which is more effective than pca in describing the process

    主元分析方法不僅作為一種過程特徵的提取方法（在過程信息服從多元正態分佈的情況下） ，而且也作為一種過程數據降維的主要工具（在過程盲源信號提取的情況下） ；盲源信號分析是從信息論的角度，從過程信息中提取出盡可能獨立的過程特徵信號或過程原始信源信號，它具有比主元分析更好的刻畫過程運行特徵的性能。
  17. What ' s more, it is not easy to be disturbed by outside environment for requiring the signals from the inside of reciprocating pump cylinder

    此方法的優點在於特徵信號取自於閥箱內的壓力，不易受到外部環境的干擾，適用於多個泵閥同時發生故障的情形。
  18. Research on a extraction method for weak fault signal and its application

    一種弱故障特徵信號的提取方法及其應用研究
  19. 3 ) based on the idea that the process information is driven by a few of components as independent as possible, a novel process monitoring method is provided whose effectiveness is verified by the research results

    3 ）根據過程信息能夠用若干「盡可能獨立」的過程特徵信號進行描述的原理，提出了一種基於獨立成分分析的過程監控方法。模擬研究表明，這種方法是有效的。
  20. As we know, feature extraction is the most important and difficult topic in the field of mechanical fault diagnosis. to some extent, feature extraction is a problem which hinder the mechanical fault diagnosis technique from getting further improvement

    在機械故障診斷的發展過程中，最重要、最關鍵、也是最困難的問題之一就是故障特徵信號的特徵提取，從某種意義上說，特徵提取是當前機械故障診斷研究中的「瓶頸」問題。
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