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fault symptom in Chinese

Pronunciation:
How to pronounce "fault symptom""fault symptom" in a sentence

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  • 故障現(xiàn)象

Examples

  • In on - line diagnosis , time series analytic approach is used to take delivery of fault symptoms
    在絕緣在線診斷中，本文嘗試了引入時(shí)序分析法提取故障征兆。
  • A fault diagnosis method using wavelet analysis to detect signal singularity and extract fault symptom , and then using neural networks to classify is proposed
    提出了一種基于小波分析的奇異性檢測(cè)和故障特征提取，用神經(jīng)網(wǎng)絡(luò)進(jìn)行故障分類的診斷方法。
  • Furthermore because fault symptom space and fault space have complicated non - linear relations , the mathematical model of diagnosis system is difficult to get
    同時(shí)由于故障征兆和故障類型之間常常存在復(fù)雜的非線性關(guān)系，使得診斷系統(tǒng)的數(shù)學(xué)模型很難獲取。
  • Combining of the information fusion with artificial neural networks , various testing information of fault symptoms could be fully used to diagnose the faults of tunnel boring system accurately
    摘要將信息融合技術(shù)與神經(jīng)網(wǎng)絡(luò)結(jié)合起來(lái)，充分利用檢測(cè)到的各種故障徵兆信息準(zhǔn)確診斷巖石挖掘機(jī)系統(tǒng)的故障。
  • It mainly aims at the malfunctions of application software , presents some relationship diagrams to illustrate reasons of common background fault symptoms , the model of fault diagnosis nerve network , the nerve network parameters and study samples
    重點(diǎn)針對(duì)應(yīng)用軟件故障，給出了后臺(tái)服務(wù)中常見(jiàn)的故障征兆原因關(guān)系例圖、故障診斷神經(jīng)網(wǎng)絡(luò)模型、神經(jīng)網(wǎng)絡(luò)參數(shù)和學(xué)習(xí)樣本。
  • Therefore , the basic fault pattern is established by the fault symptom and neural network is trained by the sample or sample composed of the single fault pattern , so that it can discern the reasons and positions of the different faults
    鑒于電控系統(tǒng)組成的復(fù)雜性，同樣的故障征兆具有”一果多因”的特點(diǎn)。因此，以故障征兆為基本模式，采用單故障樣本組合的方式對(duì)神經(jīng)網(wǎng)絡(luò)進(jìn)行訓(xùn)練，以識(shí)別具體的故障原因和部位。
  • The second chapter is about the fault symptoms used as the basic knowledge in fault diagnosis field . a new concept of diagnosis parameter is defined in this chapter . the use of parameters is to make the sympotom description standard
    第二章對(duì)故障診斷知識(shí)作了系統(tǒng)分析，定義了診斷參量的概念，并利用診斷參量進(jìn)行故障征兆的標(biāo)準(zhǔn)化描述，歸納總結(jié)了汽輪發(fā)電機(jī)組故障診斷常用的診斷參量；基于模糊信息處理技術(shù)，針對(duì)不同類型的征兆建立了模糊子集，從而量化了征兆。
  • In order to avoid matching the fault symptoms with the identification conditions artificially , ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system . for the continuous quantitative diagnosis data such as the measurement , and the result of signal processing , a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ) , rough sets theory , and adaptive neuro - fuzzy inference system ( anfis ) was presented . firstly , the continuous attributes in diagnosis decision system were discretized with som or fcm
    對(duì)于連續(xù)的定量故障診斷數(shù)據(jù)(監(jiān)測(cè)數(shù)據(jù)) ，以4135柴油機(jī)為例，提出了自組織映射( som )模糊c -均值( fcm ) ?粗糙集?自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)推理系統(tǒng)( anfis )集成的具體故障診斷實(shí)施方案：首先，應(yīng)用som或fcm離散故障診斷數(shù)據(jù)中的連續(xù)屬性值；然后，基于粗糙集理論應(yīng)用遺傳算法計(jì)算診斷決策系統(tǒng)的約簡(jiǎn)，按照實(shí)際需要確定診斷條件；最后，根據(jù)系統(tǒng)約簡(jiǎn)設(shè)計(jì)anfis進(jìn)行故障診斷。
  • 3 . present corresponding database representation method for diagnostic knowledge : aimed at knowledge based on decision trees , use the parent node representation adding node state column and fault column to implement the database storage for diagnostic knowledge ; while for knowledge based on cases , the fault symptom matrix is available . 4
    診斷知識(shí)的表示方面，提出了相應(yīng)的數(shù)據(jù)庫(kù)表示方法：對(duì)于基于決策樹(shù)的知識(shí)，用增加狀態(tài)數(shù)據(jù)域和結(jié)點(diǎn)狀態(tài)列以及故障列的雙親結(jié)點(diǎn)表示法，實(shí)現(xiàn)診斷知識(shí)的數(shù)據(jù)庫(kù)存儲(chǔ)：對(duì)于基于案例表示的診斷知識(shí)，以故障征兆矩陣的形式存入數(shù)據(jù)庫(kù)。
  • In accordance with the technological difficulties encountered in the process of insulation supervision based on the dissolved gases analysis ( dga ) , several kinds of model and method are presented to improve the reliability and precision of fault diagnosis of the power transformer . main research content includes : by deeply studying the common transformer faults diagnosing methods , such as three - ratio methods and improved electrical committee agreements , several shortcomings such as uncertainness judgment when the fault reasons , phenomenon and principles come out together while can not consistent to each other etc . for this reason , the old methods can not fully meet the need to engineering practical application . considering fuzzy relationship matrix can fully represents the causality between fault symptoms and fault types , when diagnosing complex equipments with multiple symptoms and fault causes such as power transformer , a synthetic fuzzy diagnosing model is firstly proposed to diagnose transformer ' s insulation faults based on dga in this paper
    本文針對(duì)應(yīng)用油中溶解氣體分析方法進(jìn)行變壓器絕緣監(jiān)督時(shí)所遇到的主要技術(shù)難點(diǎn)，提出了提高變壓器故障診斷的準(zhǔn)確性、可靠性的幾種模診斷方法，主要研究?jī)?nèi)容有：通過(guò)對(duì)判斷變壓器故障常用的三比值法和改良電協(xié)研法的深入分析，其診斷準(zhǔn)確率較高，但對(duì)故障原因、故障現(xiàn)象和故障機(jī)理間同時(shí)存在不確定性和模糊性的變壓器等電氣設(shè)備的故障診斷，難于滿足工程應(yīng)用的需要；在處理變壓器等結(jié)構(gòu)復(fù)雜設(shè)備的多癥狀、多原因故障診斷時(shí)，模糊關(guān)系矩陣可以全面反映這種癥狀與故障類型間的因果關(guān)系，進(jìn)而提出了變壓器故障診斷的模糊綜合診斷模型；同時(shí)作者還深入分析了模糊算子的特性；針對(duì)常用的模糊評(píng)判結(jié)果的模糊集的集化方法的不足性，提出了將模糊綜合診斷與模糊規(guī)則推理結(jié)合起來(lái)進(jìn)行故障診斷的方法，能達(dá)到較好的效果。
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