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multiple faults in Chinese

Pronunciation:
How to pronounce "multiple faults""multiple faults" in a sentence

Translationmobile phoneMobile

  • 多故障
  • 多重故障

Examples

  • The results demonstrate that multiple faults of distribution power network can be solved by this approach successfully
    結(jié)果證明，配電網(wǎng)多重故障可以由本算法得出準(zhǔn)確的故障恢復(fù)方案。
  • 25 orailov glu a . microarchitectural synthesis of gracefully degradable , dynamically reconfigurable asics for multiple faults . in proc
    在無(wú)差錯(cuò)運(yùn)行過(guò)程中， cl - acl結(jié)構(gòu)按互補(bǔ)邏輯模式運(yùn)行。
  • At the same time , steam turbine generator - set is a system , which often has multiple faults synchronously , and the problem for the multiple faults has not been solved appropriately
    同時(shí)，由于汽輪發(fā)電機(jī)組是一個(gè)多故障系統(tǒng)，經(jīng)常出現(xiàn)多種故障同時(shí)發(fā)生的情況，而目前對(duì)于多故障的診斷問(wèn)題還未能很好的解決。
  • But the deep , multiple fault lines that the row is laying bare ? both within the atlantic alliance , and between the alliance and russia ? seem all too reminiscent of cold - war politics at their dismal worst
    但是深處的多重裂紋凸露出來(lái)? ?不僅在北約內(nèi)部，而且在北約和俄羅斯之間? ?似乎極度憂郁地（表現(xiàn)出）對(duì)冷戰(zhàn)政策的懷念。
  • ( 5 ) a two - layer neural network model for steam turbine generator set ' s multiple fault diagnosis is put forward . it can identify the multiple faults and has high modularization . also it can find the new fault
    ( 5 )建立了汽輪發(fā)電機(jī)組多故障診斷的兩級(jí)神經(jīng)網(wǎng)絡(luò)模型，它不僅對(duì)多故障診斷識(shí)別精度高和模塊化程度高，且具有發(fā)現(xiàn)新故障的能力。
  • Different power supply leads to different networks . these networks are parallel . two algorithms are proposed to combine the network diagnosing faults . the system is capable ofdiagnosising multiple faults even if trained on single ones
    本文所設(shè)計(jì)的神經(jīng)網(wǎng)絡(luò)故障診斷系統(tǒng)即使在訓(xùn)練單個(gè)故障模式情況下也能進(jìn)行多故障診斷,這是網(wǎng)絡(luò)泛化能力的體現(xiàn)。
  • Then using the neural network , the diagnosis result can be gotten . the methods and models that this paper put forwards can diagnose the vibration multiple faults of steam turbine generator - set effectively , and this could be proved by examples . it enriches the theory and methods in a cert
    本文提出的上述模型及方法，經(jīng)實(shí)例分析驗(yàn)證，可對(duì)汽輪發(fā)電機(jī)組振動(dòng)多故障進(jìn)行有效診斷，在一定程度上豐富了機(jī)組多故障診斷技術(shù)的理論及方法，有良好的應(yīng)用前景。
  • Based on predecessors " studies on steam turbine generator - set ' s state monitoring and fault diagnose , this paper focuses on the models and methods used to judge the multiple faults . these models and models , which are based on fuzzy sets theory , probability causal model , artificial neural network technology and genetic algorithms , are tested by some existing examples and some useful conclusions are drawn . all above will put the theory of multiple fault diagnosis of a large turbine generator set a further step
    本文在總結(jié)和借鑒前人關(guān)于汽輪發(fā)電機(jī)組狀態(tài)監(jiān)測(cè)和故障診斷的基礎(chǔ)上，重點(diǎn)研究基于模糊集理論、概率因果模型、人工神經(jīng)網(wǎng)絡(luò)技術(shù)以及遺傳算法的多故障診斷理論和方法，并用已有的汽輪發(fā)電機(jī)組振動(dòng)故障事例進(jìn)行了驗(yàn)證，得出了一些具有實(shí)用價(jià)值的結(jié)論，進(jìn)一步豐富和推進(jìn)了大型汽輪發(fā)電機(jī)組振動(dòng)多故障診斷的理論，并提出了一些可靠的、實(shí)用的新方法。
  • ( 2 ) a new method , which can be used to diagnose steam turbine generator - set ' s multiple faults , is brought out . this method , which is based on fuzzy clustering analyze theory , puts standard fault samples and the checked samples together as classified samples and draw a conclusion by using transfer closure based on fuzzy equivalence matrix
    ( 2 )運(yùn)用模糊聚類(lèi)分析理論，將標(biāo)準(zhǔn)故障樣本和侍檢數(shù)據(jù)一起作為分類(lèi)樣本，利用基于模糊等價(jià)矩陣的傳遞閉包法，提出了一種用于汽輪發(fā)電機(jī)組多故障診斷的新方法。
  • ( 6 ) by the research of clustering capability of som , associated with fuzzy clustering analysis , we can realize the diagnosis of multiple faults of turbine generator - set . ( 7 ) by the analysis of the fuzzy - c partition and the genetic algorithm , a new method combing with them is put forward . this method can prevent the fuzzy - c partition from the local least point and can diagnose the steam turbine generator - set ' s multiple faults more effectively
    ( 7 )通過(guò)模糊c -劃分極易陷入局部極小值和遺傳算法有全局尋優(yōu)特點(diǎn)的分析，提出了將兩者相結(jié)合的聚類(lèi)分析新方法，不僅可克服模糊c -劃分陷入局部極小點(diǎn)的缺陷，而且能對(duì)汽輪發(fā)電機(jī)組的多故障進(jìn)行有效的診斷。

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