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复合故障的英文

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"复合故障"怎么读用"复合故障"造句

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  • combined failure

例句与用法

  • The results of an experiment under the rotor ' s multi - faults case show that this method is feasible for fault diagnosis
    以转子的复合故障为例,验证了该算法在故障诊断中可行性。
  • After study of the diagnosis of single and compound fault , it turns out that wavelet neural network has improved the diagnosis accuracy
    对单故障与复合故障的诊断分别进行了研究,结果表明应用小波神经网络对故障的定性诊断具有较高的正确诊断率。
  • Based on wavelet analysis theory , and aiming at fault data character extraction in induction motor mixed fault diagnosis , this essay dedicates on implication of wavelet analysis in this field , and gain good effect in experiment
    本论文基于小波变换理论,针对感应电动机复合故障诊断中故障数据特征提取,进行了小波理论在其中的应用研究,并在实验验证中取得较好的效果。
  • A method of synthetic diagnosis for power transformer is put forward , in which the effective information from electrical tests and analysis result of the dissolved gas in the oil can be fully utilized . one fault probably cause several omens ,
    该方法不但可直接从完备的故障征兆样本集中导出正确的诊断结论,而且还能从不完备的故障征兆样本集中导出满意的诊断结论,并能够处理变压器的复合故障
  • On the base of thorough analysis of fault characters , the petri net model is introduced and changed into fault petri net ( fpn ) that can be used to settle some critical problems such as complicated faults , degradation competition and one cause with multiple consequence according to the characters of fault evolvement and spreading . in order to predicate the remained life of particular machine under special working conditions , an algorithm was also providcd to analyse the timely characters of the fpn . it is demonstrated that the method provided in this paper can simulate the dynamic evolvement process more appropriate than tranditional methods such as fault tree analysis ( fta ) and can predicate the remained life of the particular machine under special working conditions
    为此,深入分析了机械设备的故障特性,把以描述离散事件动态系统见长的petri网分析技术引入到机械设备剩余寿命预测领域,并根据故障的演变和传播特点,将petri网加以改造,提出适用于对机械设备复合故障动态演变历程进行仿真的“故障petri网” ,解决了“并发故障” 、 “劣化竞争”和“一因多果”等问题,并给出故障petri网的时间特性分析算法,用于单机具体工况下的剩余寿命预测。
  • 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
    首先对论文的选题以及相关背景进行了探讨,并对相关的小波基础理论进行了阐述,主要针对感应电动机的偏心故障和偏心+碰摩复合故障形式及相关的应用算法进行了详细探讨,主要工作内容包括下面几个方面:在论文中,首先对小波分析在信号的谐波分量提取中的应用进行了研究,在此基础上,提出了信号的特定频带成分的提取方法;研究了小波分析的频域混叠现象,探讨了小波分析应用于电机故障诊断领域时易发生频域混叠现象的原因,以及混叠现象较易发生的频带,提出了可以有效减轻频域混叠现象的改进的morlet小波分析方法;搭建了振动信号检测系统,设计实验采集得到三组故障数据:偏心故障,偏心+轻微碰摩复合故障,偏心+中度碰摩复合故障,并对这些数据应用本文提出的分析方法进行信号处理,提取出的特征参数可有效区分这两种故障形式;研究了基于matlab和labview的混合编程方法,完成了电机故障检测系统的软件开发。
  • In order to predicate the remained life of particular machine under special working conditions , a mathematical model will be developed that can be used to describe the logical relations among fault events and emulate the dynamic development process of complicated faults
    本文试图建立能够描述机械设备各种故障事件之间基本逻辑关系的数学模型,对机械设备复合故障的动态演变历程进行时域建模和仿真,从复合故障的动态演变历程角度解决单机具体工况下的剩余寿命预测问题。
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