最后给出了主轴碳精密封监测诊断实例和实测数据频谱特征分析。
Finally, it presented an example of main shaft carbon sealing monitoring and diagnosis and the spectrum feature analysis based on the data measured.
往复泵泵阀振动信号的常规频谱分析，由于故障特征信息往往被淹没于强大的噪声以及相邻部件的干扰而使诊断精度大打折扣。
The accuracy of traditional spectrum analysis for the diagnosis of reciprocating pump valve is not satisfied for the interference of the noise and the vibration of the adjacent parts.
通过分析冷却塔风机故障的频谱特征，诊断了风机运行异常振动原因并加以解决，确保了风机的正常运行。
The cause of fan abnormal vibration is diagnosed by analyzing the spectrum characteristic of fan trouble for cooling tower. The normal running of fan is guaranteed.
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