故障表徵 的英文怎麼說

中文拼音 [gùzhàngbiǎozhǐ]
故障表徵 英文
fault signature
  • 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
  • 表 : Ⅰ名詞1 （外面;外表） outside; surface; external 2 （中表親戚） the relationship between the child...
  • 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...
  • 故障 : hitch; breakdown; stoppage; fault; faulting; accident; blunder; bug; conk; failure; impairment; i...
  • 表徵 : surface features; superficial characteristics; characterization表徵碼 mask; 表徵因數 characteriza...
  1. Fast algorithms of both discrete and orthonormal wavelet and wavelet packet coefficient are diagrammatized to be introduced. daubechies wavelet is applied to help to discuss the application and test on signal filtering and noise reduction with the principle and threshold implementation ; the basic principle to pickup the fault characteristics is introduced mainly about the relations between the maximum module and signal saltation point and how to characterize the saltation point with lipschitz exponent

    展示了離散正交小波變換的mallat快速演算法和小波包系數分解的快速演算法；重點應用daubeches小波探討了小波變換在信號濾波去噪中的應用和實驗，闡述了其基本原理和通過閾值化處理實現濾波的具體方法；探討了用小波變換進行故障特徵提取的原理，說明了小波變換模極大值和信號突變點之間的關系以及怎樣用李氏指數來表徵突變點的性質。
  2. As it can predict the trend of process and determine the existence of malfunctions meanwhile, this method does not need to design problem - spedict observer to estimate unmeasured state variables, and can identfy and diagnosis faults simultaneously as well

    這種方法所針對的是可由動態模型內部參數來表徵的一類故障，這些參數可通過動態模型的在線校正獲得。
  3. Because the monitoring of electricity equipment is still in the condition of traditional prophylactic test ( monitoring off line ), wordage list and management method of handwork operation, to strengthen the real - time monitoring of the operation state of electricity equipment ( monitoring on line ), find out the anomaly of equipment, monitor and analysis the fault, then take a corresponding measures to lower the fault loss so that we can make the transition between the regulations of periodic repairing equipment and the regulations of reasonable state repair, is the work which the department of power supply and operation make much of

    針對對現有電氣設備的監測大都還處于傳統的預防性試驗（離線監測） 、文字報表、手工操作的管理方式的現狀，加強對電力設備的運行狀態進行實時的監測（在線監測） ，及時發現設備的異常徵兆、對故障進行診斷分析，並採取相應措施，把故障損失降低到最低水平，進而將目前實行的設備定期檢修制過渡到更為合理的狀態檢修制，一直是供電和運行部門十分重視的工作。
  4. 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。
  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. In the paper, identification data method is firstly applied to realized the condenser fault diagnosis

    本文的研究表明，用粗糙集方法對凝汽器故障進行特徵提取，效果較好。
  7. Based on the technical parameters, quality matter and character of polymeric materials and its products, the statistical method such as orthogonal array design, pareto diagram, histogram, significance testing, fuzzy mathematics have been used to carry out a series of study. by doing so, the inherence relationship and variance property, degree and reason of polymeric materials and its products have been obtained ; it could get better improved by adopting correcting measure

    本論文以高分子材料及其製件的工藝參數、質量問題和質量特徵值為研究對象，利用正交實驗設計、調查表、因果圖、排列圖、直方圖、控制圖、故障樹（ fta ） 、顯著性檢驗、相關分析以及模糊數學評定法等多種統計技術方法，從不同角度進行了一系列探索性研究，得到了高分子材料及其製件內在關系及變異的性質、程度和原因，採取了糾正措施並取得了較好的效果。
  8. Abstract : the responses of shaft bow and their relationships with unbalanceresponses and mechanical or electronic run out are analyzed based on the theory of rotor dynamics. the responses of shaft bow are separated from the unbalance responses successfully by making use of vibration information under different rotor runs. an identification method of thermal bend is presented based on the 2d - holospectrum technique. experimental results show that when bow phase is steady and amplitude is variable, the tangent of initial phase point on the 2d - holospectrum is parallel, which can be effectively used for diagnosis of bent shaft

    文摘:依據轉子動力學理論分析了柔性轉子彎曲響應的特徵，在此基礎上討論了它與不平衡響應及機械與電氣跳動量之間的關系，並利用轉子在不同起車情況下的振動信息，有效地分離了彎曲響應和不平衡響應，求解出彎曲量與不平衡量的比值.提出了轉子在恆定轉速下，基於二維全息譜技術的熱彎曲故障識別方法.研究結果表明，當彎曲量相位穩定而其幅值變化時，轉子響應的二維全息譜初相點的切線是相互平行的，由此可以有效地實現轉子熱彎曲故障的識別與診斷
  9. The fault samples with the signal of zero or one and the model of bp neural network are established, in accordance with nine faults of pulverizing system for chongqing power plant. during the course of the samples compilation, produce rule 、 neural network representation etc are synthesized to organize and express the fault sample of pulverizing system. before being putted into the database, the sample data is disposed to ensure sample data integrity and no redundancy

    本文針對重慶發電廠制粉系統九種故障建立了以0 、 1為徵兆量的故障樣本和相應的bp神經網路模型，且在制粉系統故障及其相關故障樣本編輯過程中，應用了神經網路產生規則式、框架式等知識表達方法，有效的表達制粉系統故障及其相關故障診斷知識，並且為保證數據的完整性，減少數據冗餘，對數據庫進行了規范化處理，簡化了數據結構和避免了數據沖突。
  10. Technical report for fault isolation - information characterization not an american national standard

    故障隔離技術報告.信息表徵
  11. The approach of fault dictionary often needs to simulate all fault states and extracts corresponding character of circuit, then setup the dictionary by corresponding relation

    故障字典法通常需要在測前模擬各種故障狀態，提取出與故障狀態相對應的電路特徵，再將兩者一一對應關系列成一個表，即為字典。
  12. 2. study on knowledge - based fault diagnosis system systemeticly to find the causes of faults, maily include the following aspects : representation of symptoms and experience knowledge ; measurement of fuzzy symptoms ; inference algorithm of the inaccuracy diagnosis ; interface of acquisition of evidence and management of knowledgebase. 3

    以詳細診斷故障原因為目的，系統的研究基於知識的故障診斷系統，主要包括：故障徵兆知識及經驗知識的形式化表示；故障徵兆知識的量化處理；不確定診斷問題的求解演算法；獲得診斷證據的介面及知識庫管理技術。
  13. It is indispensable to diagnose the faults of electrical apparatus by making use of fuzzy expert system just because the strength or weakness of equipment characterization and the fault level are all fuzzy concept. traditional logistic diagnosis is hard to express fuzzy concept, however, < wp = 7 > fuzzy expert system can solve this problem and improves the accuracy of diagnosis by much.

    我們知道設備的診斷會出現這樣的問題，即設備特徵的強弱、故障的嚴重性都是模糊概念，傳統的邏輯診斷很難表達這種模糊性，但模糊專家系統能夠很好地解決此問題，使故障診斷的準確性大大提高。
  14. 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。
  15. Abstract : based on analyzing the fault mechanism for fire - loss bush of the main bearing in nd2 diesel engine, the paper firstly presents the relations between exciting source of vibration and fire - loss bush fault ; then introduces experiments on vibration detection and diagnosis of the engine ; finally, the results show that the condition of fault for the main bearing can bediagnosed through detceting the vibration of engine base surface

    文摘:在對nd2機車柴油機滑動主軸承燒瓦故障機理分析的基礎上，闡述了柴油機的振動激勵源及特徵量與燒瓦故障之間的關系，並介紹了柴油機的振動監測與診斷的試驗研究，試驗結果表明：利用機座外表面的振動特性的變化可以診斷出機車柴油機主軸承的故障狀態。
  16. The engineering result confirms that the proposed method is better than the other wavelet methods for matching fault feature of mechanical signal, and the weak impact - rub fault caused by the axis misalignment and rotor imbalance of a key rotating machine in an oil refinery are desirably extracted

    工程振動信號分析表明，同其他類型的小波相比，用提升方法構造的小波能更好地匹配機械信號故障特徵波形，因此較理想地提取出了某煉油廠重催機組轉子不平衡、軸系不對中和輕微碰摩的故障特徵。
  17. Firstly, the voltage sample signals from ac exciter stator coil were de - noised and filtered by means of decomposition of the wavelet function. secondly, the character frequency region of the rotating rectifier fault was selected clearly with wavelet package decomposition and reconstruction

    先對交流勵磁機定子磁極線圈電壓采樣信號進行消噪濾波，再通過小波包分解和重構進行特徵頻率提取，建立了表徵旋轉整流器故障的特徵向量。
  18. First, the fault type is identified by rough - set, then the neural networks determines the fault elements by the sampling voltage values. with regarding to the other method, the rough - set is looked as the pre - system of neural network. the fault information as well as the sampling voltage values are simplified by rough - set, and the outcome of this processing is the input of neural network.

    整體結合是利用粗糙集對故障信息中樣本的所有故障徵兆進行數據處理，通過知識約簡，刪除多餘的徵兆屬性，簡化知識表達空間維數，簡化以後的樣本數據作為神經網路的訓練樣本，構成完整的粗糙集-神經網路故障診斷方法，將粗糙集與神經網路相結合，簡化了神經網路結構，從而達到提高診斷速度的目的。
  19. 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。
  20. The results of emulation and practical technical application indicate that time sequence components observed by empirical mode decomposition algorithm and frequency spec trum of them can reflect partial failure signature of gear adequately, at the same time, the weak signal feature can be easily extracted from them

    模擬研究及實際工程應用表明，採用經驗模式分解演算法后得到的時序分量及其頻譜能夠很好地體現齒輪局部故障特徵，具有很強的弱信號特徵提取能力。
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