As network input, the fault feature is enhanced by eigen-function in modeling.
在建模过程中，利用特征函数强化故障特征作为网络输入。
The establishment of fault feature vector is a precondition to fault diagnosis.
电机故障特征相量的确立是进行故障诊断的前提。
The fault is diagnosed by extracting the fault feature component from the frequency spectrum of the modulated signal.
通过对调制信号作谱分析，以其频谱中是否存在某种故障的特征频率分量来诊断有无该种故障。
Because of the girder's structure, it is very difficult to obtain its status signal and extract its crack fault feature.
因振动筛支撑大梁结构特点，其状态信号的拾取和裂纹故障特征提取困难。
Based on the research of crank bearing wear fault mechanics, the fault feature extraction and fault diagnosis method are further studied.
在曲柄轴承磨损故障机理的研究基础上，论文对其故障特征信息提取及故障识别方法开展了进一步的研究。
The expression and frequency variety law of the rotor broken bar fault feature component in the startup electromagnetic torque signal are analyzed in detail.
分析了转子断条故障特征在电机启动电磁转矩信号中的表现形式及频率变化规律。
Moreover, in IDDT diagnosis, the conception of fault feature curve and feature space is proposed to diagnose the fault in the analog and mixed-signal circuit.
此外，对动态电流故障诊断算法提出特征空间和特征曲线的概念，以实现对动态电流信号中的故障信息的有效提取。
According to the results of data simulation and Diesel engine fault feature selection example, it is proved that this scheme can get optimal feature subset...
数值仿真和柴油机故障特征选择实验结果表明，新方法可以快速、有效地求得优化特征集，是求解特征选择问题的一个较好方案。
The combination of curvilinear component analysis (CCA) and self-organizing feature map (SOFM) were applied to a diagnosis for fault feature extraction of bearing.
提出曲元分析(CCA)和自组织特征映射(SOFM)相结合的方法用于轴承的故障诊断特征提取。
During the gear fault detection and diagnosis, the fault feature extraction is the key of diagnosis, but it is multifarious for the method of fault feature extraction.
在齿轮故障监测与诊断中，故障特征提取是诊断的关键，而特征提取的方法也是多种多样的。
This paper compared different arithmetic of multifractal, and the improved multifractal arithmetic was used to compute fault feature parameter of reciprocating compressor.
本文研究分析了不同的多重分形算法，确定使用更简便、快速有效的多重分形谱改进算法来求取往复压缩机的故障特征参数。
The fault feature information can not be obtained availably by regular methods to extract the features of nonstationary vibration signals produced by fault rolling bearings.
滚动轴承的振动信号是非平稳信号，用常规方法难以从振动信号中提取有效故障特征信息。
The results indicate that this method is able to extract effectively the rolling bearing fault feature frequency and improve the veracity of rolling bearing fault diagnosis.
结果表明：该方法可以有效提取滚动轴承故障特征频率，提高了轴承故障诊断的准确性。
The composite method saves more computing time than the wrapper method with holding the classification accuracy in data simulation and experiment on bearing fault feature selection.
在数值仿真和轴承故障特征选择中，采用新方法在保证诊断精度的同时，可以节省大量选择时间。
The effectiveness of suppressing noise and robust ability of detecting fault feature by using this method have been proved by both simulation and experiments done on a gun-automaton gearbox.
通过仿真与实验，证明这种方法能有效去除噪声，对故障特征信号有很强的提取能力。
Wavelet packet decomposition technology has been used to analyze the fault signals in ball mill, a kind of fault feature extracting method based on Wavelet packets decomposition is put forward.
不同状态下相同频段信号的小波系数也不相同，因此可用不同频段信号的小波包系数来表征不同信号的特征。依据以上分析给出了一种基于小波包分解的故障特征信息提取方法。
Signal Processing is the main method to extract fault feature information. These information become the base for further way to diagnose machine fault and take measures to prevent machine fault.
信号处理是提取故障特征信息的主要手段，而故障特征信息则是进一步诊断设备故障原因并采取防治对策的依据。
This paper mainly introduces that the fault vibrating signal of gears was decomposed into time-frequency domains by double-orthogonal wavelet analysis and the fault feature of gears was picked up.
利用双正交小波基将齿轮的故障振动信号分解到时频域，并提取出齿轮的故障特征。
By means of the wavelet analysis, non-steady signals are analyzed, the fault feature vectors of fault are successfully extracted and this effective method is employed to identify the fault pattern.
研究了小波分析在非平稳信号分析的实际应用，成功地通过小波分析提取故障信号的特征信息，为识别故障类型提供了有效的分析手段。
The main feature of interest here is the use of a BPEL Fault Handler to catch the Fault thrown when an attempt to forward a message to the target Queue Manager fails.
这里关注的主要特性是在尝试将消息转发给目标QueueManager失败时，使用BPELFaultHandler捕获抛出的故障。
The largest new feature for ADC in Lotus Domino 7 is the fault analyzer.
LotusDomino7中adc的最大的新特性是故障分析器。
The fault diagnosis system is classed into data fusion level module, feature level module and decision fusion level module according data fusion method.
将故障诊断系统按数据融合的方法分为数据级融合模块、特征级融合模块和决策级融合模块。
You can couple this feature with the Zend_Soap_Server's registerFaultException() method to test the request data provided by the client, and send back a SOAP fault under various error scenarios.
您可以将这个特性与 Zend_Soap_Server的registerFaultException() 函数结合，用于测试客户端所提供的请求数据，然后为不同的错误情况返回一个SOAP错误信息。
The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。
The LANE simple server redundancy feature creates fault tolerance using standard LANE protocols and mechanisms.
LANE简单服务器容易功能使用标准LANE协议和机制来创建容错。
They connect the hanging wall of one fault to the footwall of another fault, and have special deforming feature, beside them on the hanging wall there are transverse anticlines.
转换斜坡连接一条断层的上盘和另一断层的下盘，具有特殊的变形特征，在转换斜坡近旁的断层系上盘伴生横向背斜。
It provides fine foundational ata for the study of focal fault of historical strong earthquakes with the group feature of present small earthquakes.
重新定位结果为利用现今小震的群体特征研究历史大震的震源断层提供了良好的基础资料。
To extract the gear crack fault weak feature of locomotive running gear box on complex background, a new method of ensemble empirical mode decomposition (EEMD) and 1.
针对复杂背景下机车走行部齿轮箱齿轮裂纹故障微弱特征的提取问题，提出了总体平均经验模式分解(EEMD)与1。
To select feature samples in circuit fault diagnosis, we propose a method of cloud-sample generation, and apply it to artificial-neural-network training and recognition.
为了选择电路故障诊断中的特征样本，提出了产生云样本的方法，并用于神经网络的训练和识别。
To select feature samples in circuit fault diagnosis, we propose a method of cloud-sample generation, and apply it to artificial-neural-network training and recognition.
为了选择电路故障诊断中的特征样本，提出了产生云样本的方法，并用于神经网络的训练和识别。
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