Aiming at knowledge representation problem of expert system for rotary machinery fault diagnosis, semantic net knowledge representation is discussed.
针对旋转机械故障诊断专家系统中的知识表示问题，讨论了语义网络的知识表示方法。
2
It also can program composition for implement on-line monitor and fault forecast on main driving shaft and then guarantee the complex rotary machinery even running.
运用该方法，通过编制程序可实现复杂旋转机械系统的在线监测和故障预测，确保机组正常平稳地运行。
3
Engineering practice indicates that the Short Time Vector-Spectrum is a new and usable method for rotary machinery fault diagnosis.