故障信號 的英文怎麼說

中文拼音 [gùzhàngxìnháo]
故障信號 英文
abort light
  • 故 : Ⅰ名詞1 （事故） event; incident; happening; accident 2 （原因） cause; reason 3 （朋友; 友情） fr...
  • 障 : Ⅰ動詞（阻隔; 遮擋） block; hinder; obstruct Ⅱ名詞（遮擋物） barrier; block; obstacle
  • 號 : 號Ⅰ名1 （名稱） name 2 （別號; 字） assumed name; alternative name3 （商店） business house 4 （...
  • 故障 : hitch; breakdown; stoppage; fault; faulting; accident; blunder; bug; conk; failure; impairment; i...
  1. 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。
  2. This paper researches the non - direct - grounded system fault detection from software arithmetic view, whose main content is as follows : the paper analyses the system running characters before and after fault. and the paper analyses the fault transient signal and fault steady signal and all parts in fault steady signal after the single line - to - earth fault occurs, and discovers the fault laws and appearance of fault signal. the analyzing of the fault laws and fault phenomenon of non - direct - grounded system all above is the base of analyzing arithmetic

    本文針對小電流接地系統選線的問題，從軟體演算法的角度進行了研究，主要內容如下：對小電流接地系統故障前和故障后系統的運行特點進行了分析，並且對小電流接地系統發生單相接地故障后，故障暫態信號、故障穩態信號以及故障穩態信號的各種成分進行了深入的分析，找到了故障的規律以及其故障信號的表現形式，為對各種演算法的分析比較打下了基礎。
  3. This method of feature extraction was used to collect over the fault signals with the gearbox of type dongfeng 81 - a walking tractor, and some satisfactory results were obtained

    在實踐中應用在對東風81 - a型手扶拖機齒箱的故障信號進行特徵提取，取得了較好的效果。
  4. This paper introduces a novel fault circuit selecting method, which utilizes wavelets transform to obtain useful fault transient components

    本文著重介紹了利用小波變換提取故障信號的暫態高頻分量，進行故障選線的方法。
  5. Plenty of experiments show the real, imaginary, module and angle of wavelet transform can accurately choose the fault line and precisely identify the high frequency of transient signals

    通過大量的實驗，表明利用小波變換后的實部、虛部、模值以及相角可以準確的給出故障線路並高精度的提取故障信號的暫態高頻分量。
  6. This paper introduces a novel fault circuit selecting method, which utilizes wavelets packet transform to obtain useful fault transient components and based on dsp, proposes a feasible solution

    本文著重研究了利用小波包變換提取故障信號的暫態高頻分量，進行故障選線的方法，並結合dsp技術架構硬體裝置，提出一種可行的解決方案。
  7. To conquer the problem of acquisition high effectiveness in analog circuit fault imformation, wavelet transform was researched in this paper to preprocess the fault signals. meanwhile, bp neural network diagnosis method based on wavelet transformation was proposed, this method can abstract fault feature effectively and decreases the dimension of imput vector. by this mean, the construct of neural network can be simplified and training time was economized, then the recognize ability of fault type was improved also

    為解決模擬電路的故障信息高效獲取難題，本文採用小波變換作為故障信號的預處理器，研究了基於小波變換預處理的bp網路故障診斷方法，該法能在有效提取故障特徵的同時，降低輸入信息的維數，從而進一步簡化了神經網路的結構，減少了其訓練時間，提高了辨識故障類別的能力。
  8. The feasibility of using mallat algorithm to extract the feature component of rotor bar faults is discussed, and we find that mallat algorithm is not suitable for rotor bar faults detection because of the similar representations of the fault and the normal signals

    分析了應用mallat小波變換快速演算法提取轉子斷條故障特徵的可行性，指出由於故障信號與正常信號在時頻域上的表現非常接近，僅使用基於頻帶劃分的多解析度分析方法的mallat演算法難以提取出明顯的轉子斷條特徵量。
  9. Some issues associated with the algorithm such as wavelet function selection, analysis level, and boundary treatment and so forth have been discussed. the stein self - adapting threshold denoising method is used to the signal pretreatment, thus the snr and resolution are improved

    採用基於stein無偏似然估計自適應閾值選擇原理的實用消噪方法對故障信號進行預處理，在改善信噪比的同時，又提高了對突變信息的解析度。
  10. The applications in fault signal classification and data compression of power system are studied and simulated. through the introduction of multiwavelet network, other two kinds of multiwavelet networks are proposed. the theorems for function approximation abilities of some wavelet networks and multiwavelet networks are proposed and proved

    從理論上分析了小波變換和神經網路的函數逼近能力以及它們之間的內在聯系，並且利用不同的激勵函數構造相應的小波函數；對小波網路在電力系統故障信號分類和故障數據壓縮方面的應用進行了研究和數字模擬；提出了另外兩種不同的多小波網路，對一些小波網路和多小波網路的函數逼近能力，提出了相應的定理並進行了證明。
  11. According to the information got from the plc ports, the supervise computer calculates it and gets the result, then displays the fault and alerts in the graphics on the computer screen

    根據plc埠的故障信號由監控計算機進行運算得到診斷結果，再以圖形方式在計算機屏幕上顯示故障、進行報警。
  12. Furtherly, a fault circuit selecting method based on fault transient components is presented

    在此理論基礎上，提出了利用故障信號中豐富的暫態量進行選線的方法。
  13. The results indicate that there is chaos in the real given fault gear signal and the surrogate data technique can identify chaos exactly

    結果表明，齒輪故障信號存在混沌特徵，替代數據法能對其進行準確識別。
  14. Alarm systems - intrusion systems - part 6 : power supplies ; german version en 50131 - 6 : 1997 corrigendum 1998

    報警設備.故障信號設備.第6部分:電源
  15. Due to the specialties of fault signals in missile fault diagnosis, we proposed a novel de - noising method applying wavelet analysis scale space filter by using the properties of the signal and noise modulus maxima across scales. and modified it by using information on neighboring coefficients into the decision making. this de - noising method can reduce noise to a high degree while preserving most of the important features of the signal such as edges and other singularities

    研究了小波理論在信號去噪方面的理論和演算法，並針對故障信號的特殊性，提出了基於小波變換模極大值理論的尺度相關信號去噪方法，並提出了改進方法，將臨近系數的信息也作為決策的依據，從而得到了既能保護信號的奇異性特徵，又可以取得較好信噪比的新的信號去噪方法，並將其應用於實際系統，取得了很好的效果。
  16. For real world implementation of wavelet theory, the selection of suitable wavelet bases and related algorithms is mainly focused on. then the application in signal de - noising with wavelet transform is investigated. due to the specialties of fault signals in motor control system fault diagnosis, a novel de - noising method applying wavelet analysis scale space filter by using the properties of the signal and noise modulus maxima across scales is proposed

    研究了小波理論在信號去噪方面的理論和演算法，並針對電機控制系統故障信號的特殊性，提出了基於小波變換模極大值理論的尺度相關信號去噪方法，並提出了改進方法，從而得到了既能保護信號的奇異性特徵，又可以取得較好信噪比的信號去噪方法，並將其應用於實際系統，取得了很好的效果。
  17. Based on the single - layer perceptron model, a relation between sample size and error classifying for the design of fault classifier for the afr engine is given

    摘要針對基於單層感知器模型的發動機故障進行分類器設計，研究了故障信號的學習樣本容量和分類誤判率之間的關系。
  18. Then, the fault circuit selecting method utilizing wavelets transform is proposed to obtain useful fault transient components. the results of simulation denote that the methods in this paper are efficient and reliable. lastly, the influences of arcing grounded are discussed

    然後再利用小波變換的時頻局部性提取故障信號中的暫態分量進行選線分析，經理論分析和算例模擬，可以發現本文提出的方法是有效、可靠的。
  19. Research on the extraction method of time - domain symptoms based on wavelet packet decompositions of mechanical fault signal

    機械故障信號小波包分解的時域特徵提取方法研究
  20. Application of emd and wavelet transform to diagnosis machine fault in this paper a signal singularity detection method is introduced, with which the signal is decomposed into imfs ( intrinsic mode function ) by the emd ( empirical mode decomposition ) and the singularity of the imfs is extracted by the wavelet transform

    利用emd方法和小波變換進行機械故障診斷本文採用經驗模式分解（ emd ）與小波變換相結合的方法分析非平穩機械故障信號的奇異性，進行機械故障診斷。
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