故障識別比 的英文怎麼說

中文拼音 [gùzhàngzhìbiébǐ]
故障識別比 英文
fault coverage
  • 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
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 比 : Ⅰ動詞1 （比較; 較量高下、 長短、距離、好壞等） compare; compete; contrast; match; emulate 2 （比...
  • 故障 : hitch; breakdown; stoppage; fault; faulting; accident; blunder; bug; conk; failure; impairment; i...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. The thesis presents a expert system for identifies power quality disturbance signal, after compare the artificial neural network, nearest neighbors, fuzzy decision, and expert system. we bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. this project for disturbance classifies has lower mistake ratio and facility maintenance

    採用專家系統的方法進行模式識別，在對神經網路、最近鄰法、模糊邏輯和專家系統及一些交叉方法等模式識別方法進行比較分析的基礎上，根據電能質量信號故障分析的特點，提出了採用規則基專家系統的方法，該模式識別方法具有便於擴展、修改和識別率高等特點。
  2. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  3. One class classification is a machine learning approach different from the traditional pattern recognition approach where two or more class samples are required. however in some real - life cases, we can hardly, even not, get the samples of some classes, or have to pay costly price to obtain the so - needed samples, such as in the case of machinery malfunction. and while in other cases, the sizes of samples among classes are imbalance, such as medical diagnosis

    單類分類器是不同於傳統模式識別的一種機器學習方法，傳統模式識別方法一般需要多個類別的樣本（至少兩個） ，而在有些場合中，幾乎無法獲取多類的樣本，或者獲取其樣本所需花費的代價非常高，比如：機器故障中我們不可能為了去獲得故障樣本而讓機器特意產生故障；又有些場合的類別樣本個數嚴重不平衡，比如醫學上的疾病特徵與非疾病特徵的比例是嚴重不平衡的。
  4. 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。
  5. Utilising dissolved gases analysis, a new insulation fault diagnosis method for power transformers is proposed. this method is based on the group grey relational grade analysis method. first, according to the fault type and grey reference sequence structure, some typical fault samples are divided into several sets of grey reference sequences. these sets are structured as one grey reference sequence group. secondly, according to a new calculation method of the grey relational coefficient, the individual relational coefficient and grade are computed. then according to the given calculation method for the group grey relation grade, the group grey relational grade is computed and the group grey relational grade matrix is structured. finally, according to the relational sequence, the insulation fault is identified for power transformers. the results of a large quantity of instant analyses show that the proposed method has higher diagnosis accuracy and reliability than the three - ratio method and the traditional grey relational method. it has good classified diagnosis ability and reliability

    基於變壓器油中溶解氣體分析，提出了一種基於群灰色關聯度分析的變壓器絕緣故障診斷新方法.首先根據故障類型與灰色參考序列構造，選擇變壓器典型故障樣本構造多組參考序列，這些參考序列組構成一個灰色參考序列群.其次根據給出的新的關聯系數計算方法，計算個體關聯系數和關聯度.然後根據給出的群灰色關聯度計算方法，計算群灰色關聯度和構造群灰色關聯度矩陣.最後根據關聯序識別變壓器絕緣故障診斷.通過大量變壓器絕緣故障診斷實例分析，所提方法診斷準確性與可靠性優於三比值法和傳統的灰色關聯分析方法，具有較好的分類診斷能力和可靠性
  6. 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
  7. In the practice applications, train wheel hoof were as the processing object, and satisfactory result was gained in the static state, at the same time analysis and comments have been done about the existing questions

    在實際應用當中，主要是以車輪踏面故障為對象，利用計算機圖像識別技術進行了自動識別，並在靜態情況下得出了比較滿意的結果，同時還對存在的問題作了一定的分析和討論。
  8. Compared with conventional methods, the proposed method is not disturbed by reflected waves from tee joints or other resistance discontinuities, and is not influenced by fault type, and can recognize the reflected wave from the fault point even when the fault point is near to the measuring terminal ( so - called dead - zone ), and simultaneously, the method reduces the influence of wave speed uncertainty

    與傳統的行波測距方法相比，這種方法不受電纜分支接頭或其他阻抗不匹配點反射波的干擾，不受故障類型的影響，在近區也不存在無法識別反射波的問題，同時也減少了波速不確定性對測距精度的影響。
  9. The abs ’ mainframe can get train ’ s velocity and acceleration from the velocity sensors, and then accomplishes some certain braking actions in term of them. but velocity sensors are easier damaged because of its special installing position and working environment. the mainframe of abs only can diagnose some simple faults, for example, the short circuit and open circuit

    其中速度傳感器是防滑器正常制動的關鍵部件，但是轉速傳感器在工作時安裝位置比較特殊，工作環境惡劣，容易受到腐蝕、碰撞等損傷，而防滑器主機通常僅能對轉速傳感器的短路或斷路故障做出診斷，對轉速傳感器發生的其他故障難以識別，這樣就容易在列車運行時引發防滑器誤動作，甚至導致事故發生。
  10. Chapter two introduced the basic ideas of markov chain theories and hidden markov models ( hmm ). then the theories and algorithms of hmm are studied aid the application of speech recognisition uses hmm. at last, attempt to use hmm to faults diagnosis

    第二章：介紹了hmm的基本理論、演算法；通過對語音識別問題和旋轉機械故障診斷問題的比較分析，論述了hmm應用於旋轉機械故障診斷的可行性。
  11. The current break arithmetic and net arithmetic use fault steady signal as defection gist which is steady and easily identified, and the two arithmetic inherits the excellence of the tradition breadth comparing and phase comparing, which overcomes the effect of the changing of the system parameters which brings the difficult for fault defection

    電流突變量演算法和網路演算法以故障后穩態基波信號作為選線依據，信號穩定，容易識別，並且這兩種演算法吸取了傳統比幅比相演算法的優點，有效的克服了系統參數變化等影響帶來的選線困難。
  12. Chapter four introduces the basic theories of continue hidden markov models ( chmm ). the new method of faults diagnosis based mixture density chmms directly by the vibration ar coefficients vectors of rotating machine is proposed, and then the dynamic patterns presented in run - up process of rotor machine are successfully recognized. at last compares the two faults diagnosis methods of dhmm and chmm, and points out the advantages and disadvantages of the two methods

    第四章：在連續隱markov模型（ chmm ）的基本理論基礎上，提出了直接利用振動信號ar系數特徵矢量序列建立混合密度chmm的故障診斷新方法，並對轉子升速過程的振動模式進行了成功的識別；對dhmm和chmm故障診斷方法進行了對比分析，指出dhmm方法具有演算法穩定、計算速度快、識別精度高等特點，對于chmm方法只要通過合理選擇特徵參數也能得到高的識別精度。
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