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故障特征     
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  fault feature
     Fault Feature Extraction and Diagnosis of Reciprocating Pump Based on HHT
     基于HHT的往复泵故障特征提取及诊断
短句来源
     Study of fault feature extraction based on BP neural network
     基于BP网络的故障特征提取方法研究
     Fault Feature Extraction of Bearings Based on CCA and SOFM
     基于CCA和SOFM的轴承故障特征提取
短句来源
     Fault Feature Extraction from Engine's Vibration Signals Based on Rough Set Approximative Approaching Theory
     以粗糙集近似逼近理论提取发动机振动故障特征
短句来源
     Bearing Fault Feature Extraction Based on Wavelet Packet Transform
     基于小波包的滚动轴承故障特征提取
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  fault characteristics
     The nonlinear and fault characteristics of oil-film rotors with rub faults are investigated through numerical simulation and experiment.
     针对发生全周碰摩故障的转子-短油膜轴承系统,从数值仿真和实验验证两个方面研究了碰摩转子的非线性特征和故障特征
短句来源
     STUDY ON FAULT CHARACTERISTICS OF ROTOR VIBRATION USING NONLINEAR ANALYSIS METHOD
     用非线性分析法研究转子振动故障特征
短句来源
     STUDY ON DYNAMICS AND FAULT CHARACTERISTICS OF TWO-SPAN ROTOR-BEARING SYSTEM WITH PEDESTAL LOOSENESS
     双跨转子系统支承松动的动态特性及故障特征研究
短句来源
     STUDY ON FAULT CHARACTERISTICS LAW FOR LARGE CAPACITY TURBOGENERATORS
     大型汽轮发电机故障特征规律的研究
短句来源
     In this paper, the over-current and over-voltage fault characteristics of the electromotor are analyzed and the fundamental protective measures for various current and voltage troubles are put forward. Meantime, the protective schemes are designed and applied to HT6L1-400Z/1140 flameproof intrinsically safe intelligent vacuum magnetic control station for mine, which have stabilities, reliabilities and important applied values.
     本文分析了电动机的过电流和过电压故障特征,提出了电动机各种电流故障和电压故障的保护方法,设计了保护方案并应用于HT6L1 400Z/1140矿用隔爆兼本质安全型智能化真空磁力控制站中,其性能稳定、可靠,具有重要的应用价值。
短句来源
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  fault characteristic
     Besides,this paper studies on the extraction method for fault characteristic signal and analyzes the problems whicharised when adopting FFT to process spectrum analysis and analyze the simulation data.
     另一方面,本文还对此类故障特征信号的提取方法进行了研究,分析了采用FFT进行谱分析所存在的一些问题,提出了改进的方法,并对仿真数据进行了分析,得出了一些有用的结论。
短句来源
     It is introduced in the feature extraction of the vibration signal induced from reciprocating machinery valve,and the fault characteristic signal can be extracted effectively.
     该方法用于往复机械气阀的振动信号特征提取,有效地提取了气阀的故障特征信号。
短句来源
     Fault Characteristic Research of Reciprocating Pump Based on Wavelet Packet
     基于小波包理论的往复泵故障特征提取研究
短句来源
     According to the above analysis, the feasibility to use the surface vibration signals of cylinder head to diagnose the valve train faults is discussed, completing the valve train fault simulating experiment and building the method and principles for abstracting the fault characteristic.
     ②在分析摩托车发动机配气机构异响与响声特点的基础之上,初步探讨了利用气缸盖表面振动信号诊断摩托车发动机配气机构异响故障的可行性,通过摩托车发动机配气机构故障模拟实验分析,建立了配气机构异响故障特征提取的方法与原则。
短句来源
     The fault analysis method for rotor windings of induction motors is introduced. Then a discussion is made on the current distribution and its variations in each rotor bar and each section of end rings under different numbers of broken rotor bars, and the variation of fault characteristic value of rotor windings.
     首先介绍感应电机转子绕组故障分析方法,然后详细讨论转子断条故障后转子各导条和每一段端环中电流的分布及变化情况,定子电流中转子绕组故障特征量的变化情况,最后总结出特征量的变化规律:连续断条根数增加,故障特征量增加;
短句来源
更多       
  fault features
     A method based on VPRS(Variable Precision Rough Set) model theory is proposed to fault features selection and diagnostic rules extraction in engineering systems.
     针对实际工程系统故障诊断过程中故障特征和诊断规则难以提取的问题,提出了一种基于变精度粗糙集(VPRS)模型的故障特征选择和诊断规则提取的新方法。
短句来源
     Approach to Extraction of Fault Features Based on Wavelet Packet and Envelope Analysis
     基于小波包-包络分析的故障特征提取方法
短句来源
     Study on the Fault Features Extraction of the Rotor Blades Cracks
     转子叶片裂纹故障特征提取研究
短句来源
     INDEPENDENT COMPONENT ANALYSIS BASED NETWORKS FOR FAULT FEATURES EXTRACTION AND CLASSIFICATION OF RATATING MACHINES
     独立分量分析基网络应用于旋转机械故障特征抽取与分类
短句来源
     Extraction and Recognition of Fault Features of Reciprocating Machinery Based on Wavelet Analysis
     基于小波多分辨分析的往复机械故障特征提取与识别
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  fault feature
Wavelet design for extracting weak fault feature based on lifting scheme
      
Simulation and engineering results confirm that the proposed method is better than other wavelet methods for extracting weak fault feature.
      
A study of wavelet entropy measure definition and its application for fault feature pick-up and classification
      
  fault characteristics
A new wavelet method based on lifting scheme to match weak fault characteristics is proposed.
      
Fault characteristics are considered to be generated by dynamical exosystems that are switched via equality constraints to overcome the augmented state observability limiting the number of diagnosable faults.
      
Analyses of seismic data from 1900 to 2000 define the subduction zone, which in turn is divided into 222 subfaults based on the fault characteristics.
      
Neural networks circumvent the combinatorial explosion by taking advantage of the fact that the fault characteristics of multiple simultaneous faults frequently correlate to the fault characteristics of the individual faulted components.
      
Compile Earth Science Information -Compile historic seismicity and fault characteristics including earthquake magnitudes and recurrence intervals.
      
更多          
  fault characteristic
Then, using the instantaneous frequency extraction principle of the Hilbert Transform, the rotor broken-bar fault characteristic frequency of 2sfs can be exactly extracted from the IMF component, which includes the rotor fault information.
      
According to the fault characteristic of the imperial smelting process (ISP), a novel intelligent integrated fault diagnostic system is developed.
      
The R-X diagram for the earth fault characteristic of relay V, protecting line S2-S5, is shown in figure 5.
      
The relay, therefore, uses a typical biased differential earth-fault characteristic supervised by a directional element.
      
  fault features
Weak fault features of mechanical signals are usually immersed in noisy signals.
      
Extracting invariable fault features of rotating machines with multi-ICA networks
      
The fault features of the sampled signals were extracted by wavelet packet decomposition and served as input parameters of SVM classifier to classify the different fault types.
      
The neural networkbased fault detection approach usually requires preprocessing algorithms which enhance the fault features, reducing their number at the same time.
      
Once defined the 3D fault features and the segmentation model, the step onward is the computation of the maximum magnitude of the expected earthquake (Mmax).
      
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