为实现水轮机转轮状态及时有效地识别,运用基于模型的状态识别方法建立水轮机转轮模型,从而提取转轮不同状态下的特征,达到状态识别的目的。鉴于水轮机转轮模型的输入量非常复杂且不易测得的特点,假定水轮机转轮受到的不均匀力作为一个...为实现水轮机转轮状态及时有效地识别,运用基于模型的状态识别方法建立水轮机转轮模型,从而提取转轮不同状态下的特征,达到状态识别的目的。鉴于水轮机转轮模型的输入量非常复杂且不易测得的特点,假定水轮机转轮受到的不均匀力作为一个随机输入,利用水导轴承摆度作为输出,提出了基于Volterra模型盲辨识的水轮机转轮状态识别方法。利用在线监测系统中已有的水导轴承摆度数据作为输出,辨识出水轮机转轮Volterra时域模型。结合多维傅里叶变化,建立转轮的广义频率响应模型(generalized frequency response function,GFRF)。通过模型频域上的变化,分析转轮状态的变化。仿真实验和实例研究表明,Volterra模型盲辨识方法能够很好地反映原系统的频域特性,实现了水电机组转轮频域特征的良好提取,进而可采用该方法对水轮机转轮进行状态识别。展开更多
A consequence of nonlinearities is a multi-harmonic response via a monoharmonic excitation.A similar phenomenon also exists in random vibration.The power spectral density(PSD)analysis of random vibration for nonlinear...A consequence of nonlinearities is a multi-harmonic response via a monoharmonic excitation.A similar phenomenon also exists in random vibration.The power spectral density(PSD)analysis of random vibration for nonlinear systems is studied in this paper.The analytical formulation of output PSD subject to the zero-mean Gaussian random load is deduced by using the Volterra series expansion and the conception of generalized frequency response function(GFRF).For a class of nonlinear systems,the growing exponential method is used to determine the first 3 rd-order GFRFs.The proposed approach is used to achieve the nonlinear system’s output PSD under a narrow-band stationary random input.The relationship between the peak of PSD and the parameters of the nonlinear system is discussed.By using the proposed method,the nonlinear characteristics of multi-band output via single-band input can be well predicted.The results reveal that changing nonlinear system parameters gives a one-of-a-kind change of the system’s output PSD.This paper provides a method for the research of random vibration prediction and control in real-world nonlinear systems.展开更多
论述了广义频率响应函数的定义和算法,将广义频率响应函数引入到裂纹转子的故障诊断中,提出了一种基于广义频率响应函数(Generalized Frequency Response Function,GFRF)的裂纹转子故障诊断方法,该方法通过辨识前3阶频域核的特性,反映...论述了广义频率响应函数的定义和算法,将广义频率响应函数引入到裂纹转子的故障诊断中,提出了一种基于广义频率响应函数(Generalized Frequency Response Function,GFRF)的裂纹转子故障诊断方法,该方法通过辨识前3阶频域核的特性,反映不同位置的裂纹转子的特征变化。试验结果证明了该方法的有效性,高阶GFRF对裂纹故障反映敏感。展开更多
文摘为实现水轮机转轮状态及时有效地识别,运用基于模型的状态识别方法建立水轮机转轮模型,从而提取转轮不同状态下的特征,达到状态识别的目的。鉴于水轮机转轮模型的输入量非常复杂且不易测得的特点,假定水轮机转轮受到的不均匀力作为一个随机输入,利用水导轴承摆度作为输出,提出了基于Volterra模型盲辨识的水轮机转轮状态识别方法。利用在线监测系统中已有的水导轴承摆度数据作为输出,辨识出水轮机转轮Volterra时域模型。结合多维傅里叶变化,建立转轮的广义频率响应模型(generalized frequency response function,GFRF)。通过模型频域上的变化,分析转轮状态的变化。仿真实验和实例研究表明,Volterra模型盲辨识方法能够很好地反映原系统的频域特性,实现了水电机组转轮频域特征的良好提取,进而可采用该方法对水轮机转轮进行状态识别。
基金the National Natural Science Foundation of China(Nos.11772084 and U1906233)the National High Technology Research and Development Program of China(No.2017YFC0307203)the Key Technology Research and Development Program of Shandong Province of China(No.2019JZZY010801)。
文摘A consequence of nonlinearities is a multi-harmonic response via a monoharmonic excitation.A similar phenomenon also exists in random vibration.The power spectral density(PSD)analysis of random vibration for nonlinear systems is studied in this paper.The analytical formulation of output PSD subject to the zero-mean Gaussian random load is deduced by using the Volterra series expansion and the conception of generalized frequency response function(GFRF).For a class of nonlinear systems,the growing exponential method is used to determine the first 3 rd-order GFRFs.The proposed approach is used to achieve the nonlinear system’s output PSD under a narrow-band stationary random input.The relationship between the peak of PSD and the parameters of the nonlinear system is discussed.By using the proposed method,the nonlinear characteristics of multi-band output via single-band input can be well predicted.The results reveal that changing nonlinear system parameters gives a one-of-a-kind change of the system’s output PSD.This paper provides a method for the research of random vibration prediction and control in real-world nonlinear systems.
文摘论述了广义频率响应函数的定义和算法,将广义频率响应函数引入到裂纹转子的故障诊断中,提出了一种基于广义频率响应函数(Generalized Frequency Response Function,GFRF)的裂纹转子故障诊断方法,该方法通过辨识前3阶频域核的特性,反映不同位置的裂纹转子的特征变化。试验结果证明了该方法的有效性,高阶GFRF对裂纹故障反映敏感。
