fault diagnosis 中文意思是什麼
fault diagnosis
解釋
故障診斷-
The thesis introduces the process of the equipment developing and analyses the direction of the theory research on automobile fault diagnosis ( afd ), based on a large of the abroad and domestic information
本文在廣泛收集國內外汽車診斷技術發展及現狀等有關資料的基礎上，全面論述和系統分析了汽車診斷設備的開發和診斷理論的研究成果及方向。 -
With so much anfractuous and coupling correlation, many uncertainty factors and much uncertainty information in complex devices, the fault diagnosis and maintenance decision is very difficult
但是，由於復雜設備中存在很多錯綜復雜、關聯耦合的相互關系，並存在大量的不確定因素及不確定信息，使得故障診斷與維修決策的實施較為困難。 -
An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine - generation is proposed based on theory of adap tive wavelet network ( awn )
基於自適應小波網路理論，構造了一個應用於汽輪發電機組振動故障診斷與識別的自適應小波網路分類器。 -
This thesis studies the law of affecting de - noise result and the selection of the threshold and the wavelet function, the combination of wavelet and fft in the fault diagnosis of turbine - generator sets : by the de - noise anslysis of blocks and sin signals, concludes : to blocks signals, usually adopts soft threshold ; the law of affecting de - noise result is when use wavelet auto - de - noise, with the increasing of decomposed level, the de - noise result becomes worse while the level blow the 3, when the level above 3 and when uses wavelet packet, it is the other way round ; the best de - noise methods of the signal is that uses " dbl " wavelet function, three level, soft and " rigrsure " threshold
本文研究了分解層數對消噪結果影響的規律和閾值、小波函數的選取，結合小波分析與fft分析診斷汽輪發電機組的故障。通過對brocks和sin兩信號的分析，得出：對blocks信號進行分析一般採用軟閾值；分解層數對消噪結果影響的規律為用小波自動降噪在分解層數小於3時，隨著分解層數的增加，消噪結果變好，反之，則變差，用小波包降噪時隨著分解層數的增加，消噪效果變好；適宜選用dbl小波軟rigrsure閾值自動消噪。 -
According to the project that contains the study and design of state monitoring and fault diagnosis system of large crucial equipments in a certain domestic oil company that circumrotate in high speed, the dissertation is made
本論文結合煉化公司的大型、關鍵、高速旋轉機組的狀態監測和故障診斷系統的研製而展開。 -
Application of demodulated resonance and fuzzy distinguishing technique to fault diagnosis of bearings in drilling pump
共振解調和模糊識別技術在鉆井泵軸承故障診斷中的應用 -
Direct method for sound intensity acquisition applied in engine fault diagnosis
聲強直接測定法在發動機故障診斷中的應用 -
Research of electronic control diesel fault diagnosis system
電控柴油機故障診斷系統研究 -
With the deveiopment of hydraulic technology, hydraulic system and hydraulicequipment are more complicated, hydraulic technology is more widely and morecomp1icatedly used in agricultural machine and their malfunction is more difficu1t to bedetected. fault diagnosis of hydraulic system is not as apt to be observed as that of themechanical equipmeflt or is not as easy to be detected as that of electric equipmeflt bymu1tipurpose meter or other meters. flux meter gage and pressure gage ca n ' t meet the needof fault diagnosis for hydraulic system because its working medium and workingcomponents are hiding inside the sealed vessel
隨著液壓技術的發展，液壓系統及液壓設備越來越復雜，液壓技術在農機上的應用也變得廣泛而復雜，農機液壓系統的故障診斷也越來越困難，液壓系統的故障診斷不象機械設備那樣直觀，也不象電氣設備那樣通過萬用表等儀器測得，液壓系統的工作介質和工作部件都在密閉的容腔內，流量計、壓力表等測量儀器遠遠不能滿足故障診斷的需求。 -
Based on the conclusions studied by other, the paper discusses and builds the model of condenser fault diagnosis by applying fuzzy math and ann
本文在總結已有研究成果的基礎上，運用模糊數學方法及神經網路技術，討論並建立了凝汽器故障診斷模型。 -
Kohonen neural network - based gas turbine fault diagnosis
神經網路的燃氣輪機故障診斷 -
The application of wavelet analysis in fault diagnosis of tractor gear case
小波分析在拖拉機齒輪箱故障診斷中的應用 -
So data warehouse technique is introduced in fault diagnosis. takes gear case as the instance, the paper uses the data mining to generate rules distinguishing the faults of gear case, and then uses these rules to diagnose unknown fault
對此，在故障診斷領域引入數據倉庫技術，並以齒輪箱為例，通過數據挖掘產生區分齒輪箱各種故障的規則，並利用這些規則來診斷未知故障。 -
Based on fault diagnosis theory, network theory, matrix theory and computer arithmetic, a method of optimized erosion diagnosis for medium or large - scale grounding grid is discussed in this paper
本文所研究的中大型接地網腐蝕優化診斷方法是將故障診斷學原理、網路理論、矩陣理論及計算機演算法結合起來，應用於接地網腐蝕診斷這一工程實際問題。 -
Study of fault diagnosis hybridized with genetic algorithm and bp algorithm
演算法的故障診斷方法的研究 -
Wavelet transform method for fault diagnosis of hydraulic pump
液壓泵故障的小波變換診斷方法 -
One fault diagnosis model and corresponding algorithm was constructed based on neural network and evidence theory for taking a step forward diagnosis correct rate, which can cut down the imput dimension of neural network 、 improve classification ability 、 decrease the error classify rate of diagnosis system. then, the feasibility and effectiveness of this method was manifested by specific diagnosis example
為進一步提高診斷準確率，本文基於神經網路和證據理論，構建了基於決策層信息融合的故障診斷模型及其相應演算法，目的在於降低神經網路的輸入空間，提高其分類能力，降低診斷系統的誤分類，診斷實例表明了這種方法的可行性和有效性。 -
To the incertitude of fault diagnosis and based on evidence theory, a decision - making fusion method is researched and provided in this paper, with a simulate demonstration to analize
針對故障診斷中的不確定性，本文研究了基於證據理論的決策融合方法，並結合算例進行了分析。 -
To the incertitude of fault diagnosis, the decision - making fusion based on evidence theory is put forward. the basic conception of evidence theory is introduced. with the simulation based on the example, we can know evidence theory fusion improved the fault diagnosis precision
針對故障診斷中的不確定性，提出了基於d - s證據理論的決策融合，簡要介紹了d - s證據理論的基本概念，並結合算例進行了分析。 -
In the first part of the paper, the development of motor control system fault diagnosis theory is summarized. on the basis of the analysis of the characteristics of wavelet, the theory is discussed and the definition of the singularity is given. because of the localization property of wavelet transform, wavelet analysis can be used to detect the characteristics of the singularity from the signal and intermittence fault problems lying in the motor under test
著重介紹了小波分析在電機控制系統故障診斷中的應用，根據小波理論在時域和頻域良好的局部化性質，討論了利用小波變換來檢測信號的奇異特徵的原理，給出了小波變換對信號奇異性特徵檢測的方法，針對實際應用，對小波基函數選取及小波分解尺度進行了探討。
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