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332
- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
Hilbert335
- 测量6205深沟球轴承的故障振动加速度信号, 对信号进行时频分析, 利用经验模态分解方法将振动信号分解成不同特征时间尺度的固有模态函数,对每个固有模态函数进行Hilbert 变换得到Hilbert 谱,通过谱分析识别轴承的故障部位和类型, 证实Hilbert 谱的有效性-Measuring 6205 deep groove ball bearing fault vibration acceleration signal, the signal frequency analysis, empiri
WiMAX-2.2-online
- wimax仿真例程，全套仿真代码，附有liscen和使用手册。通信专业学习用。-wimax simulation routines, complete simulation code, the bearing liscen and user manual. With communications professional learning.
Discret-Wavelet-Transform-got-Daub2-by-Santhana-R
- y=d2wavelet(x,Fs,level) does the 2nd order Daubechies Wavelet Transform of signal x with a sampling frequency Fs and the DWT is decomposition is done upto a level It returns the matrix of all decompositions and the final approximations. Instead
4532
- 求解非线性方程组的方法研究。非线性代数方程组求解是一个基本而又重要的问题,因为在工程实践、经济学、侪息安全和动力学等方面有大量的实际问题最终转化为代数方程组,而非线性方程组的求解方法长期以来一直是工程应用和数值计算中重要的研究内容。-Research method for solving nonlinear equations. Solving nonlinear algebraic equations is a basic and important issue, because a larg
Untitled31
- 运用提升小波对轴承数据进行去噪并仿真出图。-Lifting wavelet de-noising bearing data and simulation Figure
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- 运用matlab对轴承故障进行分析，获得轴承内外圈故障的时频图和功率谱-Using MATLAB to analyze the bearing fault, time-frequency diagram and power spectrum of inner and outer rings of bearing failure
envelop-demodulation--
- 包络解调分析在轴承故障诊断中的应用，可为故障诊断提供方法-Envelope demodulation analysis in Bearing Fault Diagnosis for fault diagnosis method
matlab
- 计算轴承生热程序，利用生热公式和matlab图形处理窗口，把生热界面显示出来-Calculate bearing heat procedures, the use of heat formula and matlab graphics processing window, the heat interface displayed
reflected-Road-records
- 反射道记录的形成，模型为水平地层，此实验重在理解Zoeppritz方程在入射角为零时的反射，透射情况，理解波阻抗含义，牢记反射系数和透射系数。-Formation of reflected Road record, a model of horizontal strata, this study focuses on understanding the of Zoeppritz equation in the angle of incidence zero reflection, transmi
mainn
- 用于绘制滚动轴承故障的频谱图和包络解谱图，从而判断轴承故障-Used to draw the rolling bearing fault frequency spectrum and spectral envelope solutions, in order to determine bearing failure
shengjingwangluo
- 通过matlab编程实现基于神经网络的轴承故障诊断-By matlab programming based on neural networks bearing fault diagnosis
Bearing_failure_analysis
- 共振解调,轴承故障分析程序,对故障信号进行小波分析，获取轴承故障信息-Demodulated resonance, bearing failure analysis program, the fault signal wavelet analysis for bearing fault information
zhoucheng
- 轴承故障诊断，经验模态分解，采用切片双谱-Bearing fault diagnosis, empirical mode decomposition, using slices bispectral
Drilling-Engineering-Laboratory-Manual
- rotor dynamic file analisys and bearing analisys
zhouchengzuo
- 用ansys 对轴承座进行静力分析和模态分析的命令流-Ansys for bearing with static analysis and modal analysis of order flow
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- 对重分配小波尺度谱存在着时、频分辨率不能同时达到最佳及当振动信号中存在着能量较大的噪声时会降低其时频分布可读性的缺陷，提出一种基于参数优化和奇异值分解(SVD)提高重分配尺度谱时频分布可读性的方法。首先利用Shan— non熵方法优化重分配尺度谱基函数的时间．带宽积(TBP)，克服其时、频分辨率不能同时达到最佳的缺陷，再对重分配尺度谱 进行SVD降噪降低噪声干扰影响，提高时频分布的可读性。最后用该方法对仿真信号和滚动轴承故障信号进行了分析，结果表明该方法的时频聚集性更好，抗噪能力更强，能
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- 提出一种基于小波分析和奇异谱降噪理论的新方法, 在分析滚动轴承故障特性的基础上, 将奇异谱理论的降噪方法与小波分析理论结合应用于滚动轴承故障诊断中。实例表明,这种结合后的新方法能够更有效地降低噪声,突出振动信号的故障特性, 从而提高设备故障诊断的准确率。-Proposed based on wavelet analysis and Singular Spectrum Reduction Noise Theory new methods in the analysis of rolling bea
diyiti
- 满应力法分析最优结构，假设结构承载应力达到最大值，通过极限载荷确定结构的最小断面积。使用时改数据即可-Full stress analysis optimal structure, assuming the structure bearing stress reached the maximum limit load through the smallest cross-sectional area to determine the structure. Data can be used to
tuxiangfenxi
- 在matlab中对大量的轴承故障的特征信号进行小波包分解，提取特征值，并建立神经网络训练，最终可由网络进行故障的分析-In matlab large number of bearing fault characteristic signal wavelet packet decomposition, extract characteristic values, and the establishment of neural network training, and ultimately by