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。
The fault is diagnosed by extracting the fault feature component from the frequency spectrum of the modulated signal.
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。
The expression and frequency variety law of the rotor broken bar fault feature component in the startup electromagnetic torque signal are analyzed in detail.
模型与信号分析数据库连接后，可得到该特征频率处的故障参数信息。
When the model is connected with the analytic database of signal, the fault parameters corresponding with the characteristic frequency can be gained.
针对定子电流特征频率所携带的故障信息，目前主要有两类处理方法：小波分解和频谱分析。
According to frequency characteristics of the stator current, which carries the fault information, there are two methods: Wavelet decomposition and spectral analysis.
计算表明，其脉冲线周期性出现的平均频率与相应的故障特征频率相当吻合。
Computational results show that the mean impulse repetition rate of each impulse sequence in the time domain matches the corresponding characteristic defect frequency of the bearing very well.
通过机械故障特征频率分析和机组组态，对可能存在的故障类别和机组类别的特征数据进行提取；
The character data of the probably fault and machine is acquired by analyzing mechanical fault characteristic frequency and sets configuration.
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 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.
通过对气隙转矩的计算处理，利用小波脊线提取气隙转矩中转子断条故障特征频率分量，克服了分析定子电流信号时的不足，实现了电机转子断条故障的在线监测。
The broken bars faulty can be on-line monitored by extracting feature component based on wavelet ridge. Calculation of air-gap torque overcomes the disadvantages which based on current signal.
在故障诊断中的滚子轴承的旋转频率的重要性进行了分析，根据故障特征频率的计算公式。
The importance of rotating frequency in fault diagnosis of roller bearings is analyzed based on formula of fault characteristic frequency.
介绍了采用多传感器对采煤机的运行状态进行监测，通过小波包对监测信号进行分析，得到其特征频率信息，以达到对其早期故障的预测。
The paper introduces a method of using multisensor to detect running state and using the wavelet packet transform to analyse the signals. In the ends the character frequ…
该方法构造的复值小波具有频率局部化性能好、取故障信号特征分量较准确的优点。
The complex wavelet functions constructed by means of this method have advantages of good performance in frequency localization and better veracity in extracting characteristic parts of signals.
该方法构造的复值小波具有频率局部化性能好、取故障信号特征分量较准确的优点。
The complex wavelet functions constructed by means of this method have advantages of good performance in frequency localization and better veracity in extracting characteristic parts of signals.
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