基于信息熵的转子动力特征分析与诊断方法研究

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振动与冲击 ›› 2009, Vol. 28 ›› Issue (2) : 77-81.

论文

基于信息熵的转子动力特征分析与诊断方法研究

谢平,杜义浩

作者信息 +

STUDY ON ROTOR DYNAMIC FEATURE ANALYSIS AND DIAGNOSIS METHOD BASED ON INFORMATION ENTROPY

Xie ping,Du yihao

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文章历史 +

摘要

针对转子系统运行过程中的非线性、耦合性、非平稳突变性等复杂特征，提出基于信息熵特征提取方法，将转子系统动力分析与参数识别方法有机结合，分析转子典型故障——裂纹、碰摩及裂纹碰摩耦合等不同状态下响应参量的信息熵特征及变化规律，并构建小波神经网络模型实现转子系统故障状态诊断。通过对转子系统实测信号的分析诊断，验证理论方法的有效性。

Abstract

Aiming at complex features in rotor system running process, such as non-linearity, coupling, un-steady abrupt states etc., a new method based on information entropy feature extracting algorithm is proposed here to combine rotor system power analysis and parameter recognition method. Information entropy feature and change rule of respond parameters in typical rotor fault states are analyzed, such as crack, rub-impact, crack and rub-impact coupling etc., and a wavelet neural network model is established which can realize the recognition and diagnosis of different fault states. The validity of the proposed method is demonstrated by theoretical analyzing and testing experiment of the rotor system.

导出引用

谢平;杜义浩. 基于信息熵的转子动力特征分析与诊断方法研究[J]. 振动与冲击, 2009, 28(2): 77-81

Xie ping;Du yihao. STUDY ON ROTOR DYNAMIC FEATURE ANALYSIS AND DIAGNOSIS METHOD BASED ON INFORMATION ENTROPY[J]. Journal of Vibration and Shock, 2009, 28(2): 77-81

中图分类号： TH165.3