遗传神经网络的模式识别算法,可以用于设备的故障诊断-Genetic neural network pattern recognition algorithm, can be used for equipment fault diagnosis

轴承滚动体故障诊断，故障设置为滚动体局部剥落，故障特征频率为外环通过频率或倍频理论计算得到218.98Hz.-Rolling bearing fault diagnosis, fault set rolling local spalling, the failure characteristic frequency for the outer ring through the frequency or frequency theoretical calculations 218.98Hz.

基于KPCA（核主元分析）发对TE模型进行故障诊断和辨识-Based on KPCA (KPCA) TE model made of fault diagnosis and identification

matlab编写的等价空间故障诊断方法，倒立摆仿真程序-matlab prepared space equivalent fault diagnosis method, inverted pendulum simulation program