Then the critical rotate speed and vibration shape are changed by changing the supporting stiffness with the characters of flexibility of rotor.
并利用转子支承都具有一定弹性的特点，通过改变转子支承刚度达到调整转子临界转速和振动形态的目的。
The central content of this thesis includes identifying and revising the critical rotate speed-dynamic parameters of rotor-bearing system by the artificial neural network theory and harmonic wavelet.
本论文的核心内容是：应用谐波小波和人工神经网络理论对转子轴承系统动力参数——临界转速进行识别与修正。
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