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。
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。
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。
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