转子的不平衡量、油膜的动态特性系数、调速器对转子作用力的系数是几个反映流体动压滑动轴承-转子系统故障的主要振动参数,提供这些参数作为故障诊断的深知识,可以有效地提高故障诊断专家系统的能力。本文给出了一个识别这些振动参数的方法,该方法简单、易行,适用于数据的实时处理。本文还给出了一个利用深知识进行故障诊断的实例。 Rotor unbalance, oil film dynamic coefficient, governor rotor force coefficient is a reflection of several hydrodynamic fluid pressure sliding bearing - rotor system failure of the main vibration parameters, to provide these parameters as a fault diagnosis of deep knowledge, can be effective To improve the ability of fault diagnosis expert system. This paper presents a method to identify these vibration parameters. The method is simple and easy to implement and is suitable for real-time data processing. This article also gives an example of fault diagnosis using deep knowledge.