輕微故障 的英文怎麼說

中文拼音 [qīngwéigùzhàng]
輕微故障 英文
minor failure
  • 輕 : Ⅰ形容詞1 （重量小; 比重小） light 2 （數量少; 程度淺） small in number degree etc : 年紀很輕 be v...
  • 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
  • 輕微 : light; slight; trifling; to a small extent
  • 故障 : hitch; breakdown; stoppage; fault; faulting; accident; blunder; bug; conk; failure; impairment; i...
  1. The approaching aircraft was an airbus a320 which had departed hong kong for phnom penh but returning due to a minor electrical problem. as the aircraft was number one in the approach sequence, it was allowed to fly at its own speed

    該進場飛機是一班從香港飛往金邊的空中巴士a320 ，因電力系統有輕微故障而須折回，因這航機是第一班進場的飛機，所以讓飛行員保持其進場速度。
  2. Application of svm to text categorization

    演算法及其在輕微故障診斷中的應用
  3. We have trouble with elevator control, it is fluttering ( sharking ) slightly, we ' re to keep higher approach speed on final

    升降舵操縱系統故障，輕微抖動，我們在五邊保持稍大進場速度。
  4. It mainly includes following aspects : in this paper, firstly implication of wavelet analysis in signal harmonic component extraction is presented in detail, and on this foundation signal given frequency band component extraction method is proposed. then we investigate frequency aliasing phenomenon, reason why frequency aliasing phenomenon is easy happened when wavelet is implied in field of motor fault diagnosis, and frequency bands where frequency aliasing phenomenon is easer happened, and put forward approved morlet wavelet analysis method which can effectively alleviates frequency aliasing phenomenon. third we set up vibration signal detected system, design experiments to obtain three groups of fault signals : eccentricity fault, mixed fault of eccentricity plus mild rub, mixed fault of eccentricity plus moderate rub, and process these data using analysis method proposed in this paper

    首先對論文的選題以及相關背景進行了探討，並對相關的小波基礎理論進行了闡述，主要針對感應電動機的偏心故障和偏心+碰摩復合故障形式及相關的應用演算法進行了詳細探討，主要工作內容包括下面幾個方面:在論文中，首先對小波分析在信號的諧波分量提取中的應用進行了研究，在此基礎上，提出了信號的特定頻帶成分的提取方法;研究了小波分析的頻域混疊現象，探討了小波分析應用於電機故障診斷領域時易發生頻域混疊現象的原因，以及混疊現象較易發生的頻帶，提出了可以有效減輕頻域混疊現象的改進的morlet小波分析方法;搭建了振動信號檢測系統，設計實驗採集得到三組故障數據:偏心故障，偏心+輕微碰摩復合故障，偏心+中度碰摩復合故障，並對這些數據應用本文提出的分析方法進行信號處理，提取出的特徵參數可有效區分這兩種故障形式;研究了基於matlab和labview的混合編程方法，完成了電機故障檢測系統的軟體開發。
  5. 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。
  6. The results of test indicate that it is possible to judge whether occurring fault on winding and even which phase by parameters " change

    對現場試驗數據的應用結果表明，該方案能判斷出變壓器是否發生輕微故障以及故障發生在哪一相。
  7. The technique can distinguish external fault, internal fault and switching on slight fault, without information concerning parameters of the transformer and power system is required

    該方法能迅速有效的區分區外故障與區內故障，以及空載合閘于輕微故障的故障電流。
  8. In large rotating machinery using filmatic bearing ( turbogenerator, air compressor, etc. ) there is a potential trouble from impefect installation or running conditions, a metals " contact between rotors and shells. the trouble is usully called rubbing. the advantage of ae technologe in the rubbing diagnosis and early detection is showed. instead of classical ae characteristic parameters ( counts, amplitude, energy, duration and the other ones ) a new feature extraction by frequency analysis of ae envelop signals is discussed. both research of ae process and field experements indicate that periodic components in the envelop spectrum related to rotational speed increase evidently at the beginning of rubbing production, hence are highly sensitive to the rubbing fault diagnosis. according to the new design an acoustic emission equipment for the rubbing diagnosis named buaa ae testing system is developed and described

    汽輪發電機、空氣壓縮機等採用油膜支撐的大型轉動機械，由於安裝或運行中的原因，在轉子旋轉過程中，可能和器壁發生輕微的摩擦和碰擊，簡稱碰摩.聲發射技術在碰摩發生特別是故障早期診斷上有優越性.本系統的特點是沒有沿用傳統的計數、幅度、能量和持續時間等聲發射特性參數，而是在聲發射包絡信號的頻率分析中進行特徵提取.聲發射發生的過程分析和現場試驗都表明這種方法對碰摩檢測很敏感，在碰摩發生的起始階段，包絡譜中與轉速同步的周期性分量顯著增加.根據這種新的設計思想自行研製了buaa碰摩聲發射檢測儀並對此作了介紹
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