×

rotor machines meaning in Chinese

转轮机

Examples

  1. New type double rotor machine - drm and its typical application
    双转子电机及其典型应用
  2. Double rotor machine ( drm ) is a new kind of electrical machine which can realize flexible energy transform
    摘要双转子电机是一种可以实现灵活的能量传递的新型电机。
  3. At last the experiment of run - up process of rotor machine is made to verify the effect of the faults diagnosis methods . chapter five , the final part of this paper , summarizes the work of dissertation and presents conclusion and prospect
    实验的结果证明, fft - hmm和wavelet - hmm都是故障识别的有效方法; dhmm在建模过程中具有较快的速度, chmm在对故障识别具有较高的准确率。
  4. Chapter four introduces the basic theories of continue hidden markov models ( chmm ) . the new method of faults diagnosis based mixture density chmms directly by the vibration ar coefficients vectors of rotating machine is proposed , and then the dynamic patterns presented in run - up process of rotor machine are successfully recognized . at last compares the two faults diagnosis methods of dhmm and chmm , and points out the advantages and disadvantages of the two methods
    第四章:在连续隐markov模型( chmm )的基本理论基础上,提出了直接利用振动信号ar系数特征矢量序列建立混合密度chmm的故障诊断新方法,并对转子升速过程的振动模式进行了成功的识别;对dhmm和chmm故障诊断方法进行了对比分析,指出dhmm方法具有算法稳定、计算速度快、识别精度高等特点,对于chmm方法只要通过合理选择特征参数也能得到高的识别精度。
  5. Based on the theory of the discrete hidden markov models ( dhmm ) , the scalar quantization method of vibration spectrum vector of rotating machine is proposed , and then the fault diagnosis method based on dhmm is designed . the experiment of run - up process of rotor machine is made to verify the effect of the new faults diagnosis method
    第三章:根据离散hmm ( dhmm )的基本理论,提出了旋转机械振动幅值谱矢量的标量量化方法,并在此基础上提出了基于dhmm的故障诊断方法;利用转子升速过程的振动模式验证了dhmm故障诊断方法的有效性。

Related Words

  1. spinning rotor
  2. rotor displacement
  3. swing rotor
  4. rotor inertia
  5. metering rotor
  6. bimetallic rotor
  7. inboard rotor
  8. rotor nog
  9. blocked rotor
  10. rotor resistance
  11. rotor loading
  12. rotor loss
  13. rotor magnet
  14. rotor mast
PC Version

Copyright © 2018 WordTech Co.