依据复合故障特性，提出了一种基于信息融合与神经网络的复合振动故障诊断方法。
According to the compound vibration fault attribute, a method of compound vibration fault diagnosis based on information fusion and neural networks is proposed.
最后结合风机振动信号的特点，对全息谱在风机振动故障诊断中的应用进行了研究。
Finally, combining the characteristics of the vibrating signal of fan, research is carried out on the application of holo spectrum in vibrating trouble diagnosis of fan.
本文简要介绍了汽轮发电机组振动故障诊断专家系统外壳ESVD的研制过程及其特点。
This paper introduces developing processes and characteristics of the expert system of vibration fault diagnosis(ESVD)for turbine generators.
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