基于非线性输出频率响应函数的转子裂纹故障诊断新方法研究

项目名称： 基于非线性输出频率响应函数的转子裂纹故障诊断新方法研究

项目编号： No.51265039

项目类型： 地区科学基金项目

立项/批准年度： 2013

项目学科： 机械、仪表工业

项目作者： 肖尧先

作者单位： 南昌航空大学

项目金额： 50万元

中文摘要： 非线性输出频率响应函数(NOFRF)是一种新的、针对振动的非线性检测方法。将NOFRF引入到转子裂纹故障诊断中，提出了一种基于NOFRF的转子裂纹故障诊断新方法，该方法具有以下独特的特色：(1)NOFRF可以反映不同裂纹位置、不同裂纹深度的敏感性，裂纹轴的各阶NOFRF的值可以清楚地反映裂纹转子系统高阶频率产生及幅值对应关系。(2)提供了横向裂纹、斜裂纹、多裂纹转子系统的NOFRF特性，而这方面的知识在旋转机械故障诊断中还是空白，为准确地诊断转子裂纹提供了强有力的证据。(3)提出的方法可以有效确定裂纹的位置和裂纹的严重程度，从而可实现转子裂纹的定量诊断。(4)提出的方法避免了广义频率响应(GFRF)在故障诊断中存在的不足，例如，如何用GFRF解释复杂的非线性现象，高阶的GFRF辨识困难且具有维数灾难等。其研究成果具有重要的理论价值和实际应用价值，其研究成果对转子裂纹故障诊断将产生深远影响。

中文关键词： 非线性输出频率响应函数；转子裂纹；非线性动力学；故障诊断；非线性系统辨识

英文摘要： Nonlinear output frequency response function (NOFRF) is a new detection method for nonlinear vibration. Here, NOFRF is introduced into the fault diagnosis of rotor crack, a new fault diagnosis method of rotor crack based on the NOFRF. The unique characteristics of the proposed method are as follows: (1) NOFRF can reflect the sentivility from the different crack location and different crack depth. Each order NOFRF value of crack axis can clearly reflect the correspondence relation of higher-order frequency and amplitude in the cracked rotor system. (2)The NOFRF characteristics of transvers crack, slant crack and multiple crack in rotor system is given, However this knowledge in fault diagnosis of rotor crack is still in the blank. The strong evidence is provede to diagnosis the rotor crack fault effectively. (3) The proposed method can determine the crack location and crack serverity, so the quantitative diagnosis of rotor crack is obtained. (4) The proposed method can avoid the deficiencies existed in the fault diagnosis method based on the generalized frequency response function (GFRF), i.e. how to explain the complex nonnlinear phenomenon, higher-order GFRF identification difficult and dimension expansion etc. The research of this project has very much importantant value of theory and actual application, The

英文关键词： Nonlinear output frequency response function(NOFRF；Rotor crack；Nonlinear danamics；Fault diagnosis；Nonlinear system identification