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经验模态分解 是一种针对非线性、非平稳振动信号的处理方法(Empirical mode decomposition is an approach to nonlinear and non-stationary vibration signals)
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Debugging can be used, Normalized data model, modal vibration, Pisarenko harmonic decomposition algorithm.
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matlab程序,用振型分解法求结构的层间剪力,内有标注,方便初学者修改参数。(Vibration mode decomposition method for interlayer shear)
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以悬臂梁为例,用有限元法编程生成质量矩阵和刚度矩阵(采用平面梁单元,单元数在10到30之间)。
使用matlab的用于广义特征值问题分析的函数(eig(A,B,'chol'),该命令使用乔莱斯基分解的方法,计算对称矩阵A和对称正定矩阵B的广义特征值问题。A对应刚度矩阵,B对应质量矩阵)计算梁的前三阶固有频率和振型,计算得到梁的前三阶固有频率和振型,并画出振型图。(Taking cantilever beam as an example, the mass matrix and stiffness
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针对滚动轴承这种非平稳振动信号采用的小波包分解的方法来检测故障的存在,运用神经网络来实现故障的分类,还结合D-S理论融合了多个传感器的诊断结果,提高了故障诊断的准确性并通过实验仿真证实。(This course's job is to use the wavelet packet decomposition method for non-stationary vibration signals of rolling bearings to detect the presence of fault
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一种分解精度高、模态混叠问题少的VMD特征提取算法,进行振动信号分解,形成初始特征向量矩阵(A VMD feature extraction algorithm with high decomposition accuracy and few modal aliasing problems is used to decompose the vibration signal and form the initial eigenvector matrix.)
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轴承故障诊断中振动信号EMD分解和Hilbert包络(EMD Decomposition and Hilbert Envelope of Vibration Signal in Bearing Fault Diagnosis)
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改进的变分模态分解算法,有效提取振动信号中故障频率。(The improved variational mode decomposition algorithm can effectively extract the fault frequency in vibration signals.)
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实现对振动信号的小波变换分解的特征提取。(The wavelet transform decomposition of vibration signal is realized to extract its features.)
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采用振型分解法,Newmark-beta法,振型叠加法,对车桥系统进行动力分析(The vibration mode decomposition method, Newmark beta method and mode superposition method are used for dynamic analysis of vehicle bridge system)
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