关键词: 故障诊断, 深知识, 转子系统, 振动参数识别

Abstract:

The unbalance of a rotor, the dynamic characteristic coefficients of an oil-film bearing and the coefficients of force acting on a rotor by the governor are main vibrating parameters reflecting the troubles of hydrodynamic journal bearing-rotor system. If these parameters were provided as deep knowledge, the capability of trouble diagnosis expert system could be improved effectively. In the present paper, a method identifying these vibrating parameters is suggested. This method is simple and easy of realization as well as suitable for real-time treatment of datb. Besides, a trouble diagnosis example by the deep knowledge is presented in this paper.

Key words: trouble diagnosis, deep knowledge, rotor system, vibra- ting parameters identification