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针对传统旋转机械振动故障定性诊断的不足,提出了1种以信息熵理论为基础的转子故障特征分析与定量诊断方法。在转子试验台上模拟转子振动的4种典型故障,分别得到4个测点多转速下的振动过程故障数据;对这些故障数据进行分析和处理,提取反映其振动过程的故障特征——功率谱信息熵,建立能描述转子振动过程变化规律的多转速多测点下的故障信息熵矩阵,并对振动故障进行分析;通过对转子振动故障信号的实例计算和定量诊断分析,验证了该方法在转子振动故障分类和故障严重程度判断方面是可行的。
Aiming at the deficiency of the traditional diagnosis of the vibration of rotating machinery, a method of rotor fault characteristic analysis and quantitative diagnosis based on information entropy theory is proposed. Four kinds of typical faults of rotor vibration were simulated on the rotor test stand, and the vibration process failure data of four measuring points under multi-speed were obtained respectively. The fault data were analyzed and processed, and the fault characteristic reflecting the vibration process Information entropy to establish the fault information entropy matrix under multi-speed multi-measuring points that can describe the variation of rotor vibration process, and analyze the vibration fault. By the example calculation and quantitative diagnosis analysis of rotor vibration fault signal, Rotor vibration fault classification and fault severity judgment is feasible.