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bpcs
- 这是一个把神经网络直接应用于轴承的故障诊断的程序，输入轴承的信号，直接得答案-This is a direct application of neural network in bearing fault diagnosis procedures, input bearing signal, a direct answer
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- 基于谱鞘度的包络分析方法在滚动轴承故障特征提取中的应用研究-Application of resonance demodulation in the rolling bearing fault feature extraction based on fast computation of the kurtogram
Adaptive-wavelet-filter-based-on-Fractional-Lower
- Adaptive wavelet filter based on Fractional Lower Order Moment for bearing fault diagnosis
Resonant-demodulation-
- 用共振解调法实现轴承的内圈、故障外圈故障、滚动体故障的自动识别-Use resonant demodulation method to implement bearing the inner circle, fault fault, between the fault of roller automatic identification.
010
- 小波分析在交通领域的应用（汽车变速器轴承故障诊断、变速器齿轮故障诊断和车辆非平稳振动分析）-Wavelet analysis in the application of the traffic (auto transmission bearing fault diagnosis, transmission gear fault diagnosis and vehicle the nonstationary vibration analysis)
matlabacSharp
- 用小波包分析实现轴承故障诊断，信号分析处理，界面编程-Bearing fault diagnosis using wavelet packet analysis and signal analysis and processing, interface programming
lmn4op.ZIP
- 基于红外测温的异步电机轴承故障诊断Based on the infrared temperature measurement of asynchronous motor bearing fault diagnosis-Based on the infrared temperature measurement of asynchronous motor bearing fault diagnosis
A_Outer1_1xxx
- 本matlab程序对滚动轴承的外圈进行了分析研究，与正常情况下的做对比，可以发现故障的位置，进一步的对比还要再做研究。-The matlab program analysis, and under normal circumstances, the contrast of rolling bearing outer ring, you can find the location of the fault, further comparison should also do research.
env2
- 滚动轴承故障诊断的FFT分析，用故障诊断软件采集的一组数据进行分析-FFT analysis of the rolling bearing fault diagnosis, a set of data collected with the fault diagnosis software to analyze
pca
- pca 轴承故障诊断程序，有数据，有运行结果-pca Bearing fault diagnosis program, data, have the operation results
xiaobo
- 这是一篇关于，基于小波分形和神经网络的滚动轴承故障诊断，的学位论文，希望对大家有帮助-This is an on ball bearing fault diagnosis based on wavelet fractal and neural network, dissertations, and we hope to
OWAVELET-FOR-u
- 轴承外环的故障检测 MATLAB小波实现 -The bearing outer ring of the MATLAB wavelet to achieve fault detection
gongzhenjietiao
- 用于滚动轴承故障诊断，找出特征频率，从而进行滚动轴承缺陷进行分析。-For rolling bearing fault diagnosis, to identify the characteristic frequency of rolling bearing defects were analyzed.
nnt
- 应用遗传算法进行电机运行故障检测，分别为电机轴承滚珠故障、电机轴承内圈故障、电机轴承滚珠和内圈组合故障，其中以40组数据为训练样本，4组数据为测试样本。-Motor fault detection based on Genetic Algorithms，Motor ball bearing failure, the the motor bearing inner ring failure, the motor bearing balls and inner ring combination fa
wavelet-and-HHT
- 第2代小波和Hilbert—Huang变换的轴承故障诊断-The second generation wavelet and Hilbert- Huang transform bearing fault diagnosis
sampleEntropy11
- 对轴承故障信号进行小波包分解，重构能量最大的频段信号，并对该重构信号计算样本熵-Decomposing the bearing fault signal using waveletpackage method ,and reconstruct the maximum energy frequency band ,and then accumulate the sample entropy of the reconstructed signal
Wavelet-transform
- 针对滚动轴承信号的特点，构造脉冲响应小波，采用连续小波变换的方法提取滚动轴承故障信号，提出两种诊断方法。-For Rolling signal characteristics and tectonic pulse response wavelet using continuous wavelet transform to extract the rolling bearing fault signals, and proposed two diagnostic methods.
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- 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
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