振動特徵信號 的英文怎麼說

中文拼音 [zhèndòngtèzhǐxìnháo]
振動特徵信號 英文
vibration signature
  • 振 : 動詞1. （搖動; 揮動） shake; flap; wield 2. （奮起） brace up; rise with force and spirit
  • 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 （...
  • 振動 : vibrate; vibration; vibrance; vibrancy; vibra; vibes; shaking; rumble; jitter; chatter; sway; jar...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. By the result of these experiments, acoustic emission ( ae ) was chosen to use in the research. at the same time, we analyse the phenomenon of acoustic emission at the base of theory, the characteristic signal of acoustic emission which comes from the faulty bearing at the angle of application, and the expression of the characteristic signal. contrast was also made on the data achieved separately from vibrational signal and ae signal, and it is proved that ae is feasible and available to the diagnosis to the fault of the rolling bearing

    主要工作有如下幾方面：對本段前期實驗室階段採用的振動法幅值域無量綱處理進行了分析，並研製了現場所使用的滾動軸承故障檢測裝置，將無量綱參數診斷法應用於段修現場，且做了大量試驗；對于現場試驗中所出現的問題進行了分析，提出將聲發射的方法用於軸承的在線故障診斷；從理論上分析了聲發射現象，從應用的角度分析故障軸承的聲發射信號的特徵以及聲發射信號特徵的表示方法，並在實驗室中，採用振動法和聲發射法實時檢測的實驗數據進行了對比和分析，證明了使用聲發射法對軸承故障檢測的可行性和有效性。
  2. Because there are defaults in the classic methods of acoustic signal analysis, a new method based on the wavelet analysis is brought forward in the paper

    針對傳統的聲信號分析方法在信號特徵提取方面存在的缺陷，本文提出了一種基於小波變換的聲振動信號的特徵提取方法。
  3. 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。
  4. Research on the feature extraction method of rotating machinery vibration signals

    研究了旋轉機械振動信號的消噪方法和特徵提取方法。
  5. 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。
  6. The method using wavelet packet analysis is proposed to extract fault information from vibration signal obtained from testing jig of tilting train. the vector comprised of the energy of signal in all spectrum bands is input to a feed forward neural network

    利用小波包分析，將擺式車體試驗臺上採集到的振動加速度信號分解在相互獨立的頻帶之p內，各頻帶內的能量值形成一個向量，將其作為神經網路的輸入特徵向量， 。
  7. The numerical results indicate that the deformation within the solid inner core is very small. however, in the fluid outer core, the changes of the displacement with relatively low spherical harmonic degree ( n < 10 ) is very complicated via the radius, due to the resonance near the eigenfrequenies of the core long - period oscillations. while the spherical harmonic degree of the loading is larger than 10, the deformation and the gravitational perturbation in the core are very small, and the earth ' s deformation response is dominantly represented as the radial displacement in the elastic mantle

    研究了地球在日月引潮力和表面負荷作用下的形變特徵，數值計算結果表明，在固體內核中的形變很小，由於在長周期核模本徵頻率附近的共振，液核中低階（ n 10 ）位移隨半徑的變化非常復雜，當負荷階數超過10時，地核中的形變和擾動位都很小，地球的響應主要表現為彈性地幔中的徑向位移，且隨深度增加急劇減弱，地表負荷love數與信號頻率的依賴關系很弱，給出了體潮love數計算的一種有效的近似處理方案。
  8. Damage degree for a structure can be detected by energy spectrum at different frequency bands for the signal decomposed by wavelet packets. 2

    不同損傷狀態下的結構節點振動信號經小波包分解后在各頻帶上的投影是不同的，將其作為特徵向量可以實現對結構的損傷程度的識別。
  9. According to the time variation and feature extraction difficulty of rotating machinery vibration signals, the rule of choosing wavelet basis function and wavelet denoising soft - thresholding value is proposed after making further research on wavelet transform technique, using for denoising rotating machinery vibration signals the conception of " energy " is proposed, based on the theory that signals energy in all frequency can be affected by faults deeply, to construct feature vectors of rotating machinery vibration signals which can give a convenient disposal way to fault feature extraction and fault intellectual diagnosis

    針對旋轉機械振動信號的非平穩性及特徵難以提取的特點，通過對小波變換技術的進一步研究，提出旋轉機械振動信號處理的小波基函數選擇原則及小波包消噪的軟閥值原則。利用小波包變換對旋轉機械振動信號進行消噪處理和特徵提取。並以「能量」為元素，構造旋轉機械振動信號的特徵向量，從而為旋轉機械振動信號的故障特徵提取以及后續的故障智能診斷提供了一種便捷的處理方法。
  10. Statistics and analysis of amplitude domain parameters of the vibration acceleration signal measured during closing of the pump valve shows that, by using this diagnosis method, the feature information of the pump valve failure can be extracted effectively, and the failure information features are rather obvious

    通過對測取的三缸泵閥箱上泵閥關閉過程振動加速度信號的幅值域多參數的統計分析證明，採用振動信號幅值域多參數診斷法可有效提取泵閥失效故障的特徵信息，且故障信息特徵非常明顯。
  11. Thesis is in simple introduction a few analysis method and steady data of fettles with the foundation of the characteristic sketch of the data of instantaneous fettle lastly, put forward vibration signal of some concrete problem

    論文在簡單介紹幾種分析方法以及穩態數據和瞬態數據的特徵圖形的基礎上，提出了振動信號中的若干具體問題。
  12. Aiming at the key component, through analyzing the time domain and frequency characteristic of acceleration vibration signals and force signals, this paper attempts to find the infection factors of grinding vibration and to optimize the grinding parameters, which is based on ultra - high speed surface grinding experimentation

    摘要以關鍵部件為研究對象，通過在超高速磨削實驗臺上進行磨削工藝試驗，對比不同參數下加速度振動信號和磨削力信號的時頻特徵，分析了磨削過程振動特性及其各種影響因素，提出磨削工藝參數優化方案。
  13. Finally, five time - domain features of pump vibration as minimum combination of diagnosis parameters were extracted ; an online fault early warning for hydraulic pump was established, and simulations were performed

    最後，從液壓泵振動信號的時域信息中提取診斷特徵參數，組成最小診斷參數組合，建立了液壓泵在線故障預警系統，並進行了模擬研究。
  14. Based on two fault diagnosis instrument systems for rolling bearing and car, several diagnosis strategies using integrated intelligence have been brought forward. applied methods that fault feature is extracted from high frequency resonance signal have also been presented. many experiment results have shown the effectiveness of these methods

    以滾動軸承和車輛故障診斷儀器系統為研究背景，提出了幾種集成智能故障診斷策略和從高頻共振信號中提取故障特徵的實用方法，並充分利用這些方法對滾動軸承和車輛的多種故障診斷進行了實驗研究，證明了這些診斷方法的有效性。
  15. Base on review of existed study and application in suppressing cable vibration in the world, technique of mitigating cable vibration with viscous damper and mr damper has been investigated in this dissertation, and the main contents and progresses in form of summary are as following : 1 the motion differential equations of the cable - damper system are formatted, which take into account these factors, such as the inclined angle, sag, stiffness etc. coupling motion between cable and deck is studied with analytical and numerical method. numerical results show that large amplitude vibration of cable with beat rhythm will occur when exciting frequency of deck equals two times modal frequency of cable

    本文在對國內外斜拉索振動控制研究與應用現狀進行綜合評述、分析的基礎上，針對上述問題進行了深入研究，具體的研究內容和取得的成果包括： 1 、建立了斜拉索-阻尼器系統運動方程，對拉索與橋面的耦合振動作了分析和研究，數值結果顯示當橋面激振頻率等於某階拉索模態頻率的兩倍時，很小的初始擾動將引起拉索的大幅振動，並呈現拍振的特徵，與實測的拍振信號一致。
  16. Applying normal form method, conventional eigenvalue calculation and prony analysis, small signal stability and time domain simulation can be combined efficiently. the proposed method can get nonlinear information which never obtained by past techniques, so it shows a new way for analyze oscillation problems in interconnected power systems

    通過正規形方法、小信號穩定特徵值計算技術、時域模擬、 prony分析的有機結合，達到小擾動和大擾動后低頻振蕩穩定性分析的統一，為互聯系統低頻振蕩分析開辟了新的思路。
  17. 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。
  18. 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。
  19. The signal of instant vibration testing for soil compactness is analyzed both in time domain and frequency domain. some feature parameters reflecting the characteristics of the signal are extracted

    從時間域和頻率域兩個角度對土密實度瞬態振動測試信號進行了分析，提取了信號的特徵參量。
  20. Then the de - lay differential method of detecting the milling cutter breakage is put forward according to the above research work and the changing characteristics of power signal and vibration displacement signal when the tool breakage occurs, the monitoring stategy of sensors fusion based on the artificial neural network is put forward. the monitoring system of milling cutter breakage based on the information fusion of the power signal and vibration displace - ment signal has been developed. the diff culty in giving a dectecting threshold due to the changeable character of character of cutting condition has been solved, and a good reliability is ensured over a wide range of conditions

    在上述研究工作的基礎上，提出了基於人工神經網路用於多傳感器信息融合的監測策略，開發研製了以機床主電機功率信號和主軸振動位移信號特徵參量融合的銑刀破損監測實驗系統，解決了銑削過程中切削條件多變導致監測閾值難以設置的難題，保證了在較寬的工作范圍內具有較高的識別準確率。
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