搜索资源列表
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
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
Version1
- 小波包分解，重构轴承振动信号，Hilbert包络，FFT进行频谱分析，以获得轴承故障频率。-Wavelet packet decomposition, reconstruction of bearing vibration signal, Hilbert envelope, FFT spectrum analysis to obtain the bearing fault frequencies.
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- 滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。-Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combini
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- 论述了小波包分解及其能量谱处理发动机连杆轴承故障的原理与方法, 结合传统断火诊断法的思想,应用小波包能量谱直观地识别出故障的特征频带, 并进行量化分析, 结果证明了这种方法比传统的付立叶分析方法具有更大的优越性及现实的应用价值-Discussed and wavelet packet energy spectrum processing engine connecting rod bearing failure principles and methods, combined with trad
ex001
- 基于matlab小波变换的轴承故障外圈点蚀分析。-Based on wavelet transform matlab punctuate eclipse outer bearing failure analysis.
code
- 基于代价敏感布雷格曼散度的旋转机械轴承故障诊断研究-Rotating Machinery Fault Diagnosis of Bearing cost sensitive Bregman divergence based
LabVIEW
- 基于labview的风电轴承故障检测与监测-Wind power bearing fault detection and monitoring based on labview
ZCPLV
- 轴承故障判断的好帮手，非常好的程序，适合程序员开发-请键入文字或网站地址，或者上传文档。 取消 Zhóuchéng gùzhàng pànduàn de hǎo bāngshǒu, fēicháng hǎo de chéngxù, shìhé chéngxù yuán kāifāBearing fault diagnosis is a good helper, a very good program for programmers to develop
ALabVIEW
- 轴承故障判断的好帮手，非常好的程序，适合程序员开发-Bearing fault diagnosis is a good helper, a very good program for programmers to develop
LabVIEW
- 基于labview的风电轴承故障检测与监测-Wind power bearing fault detection and monitoring based on labview
med2d
- 一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+，]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上，对保留信号进行最小熵反褶积，增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题，实车测试表明: 与共振解调技术相比，该方法提取的滚动轴承故障特征更加明显，更适合于工程应用"-Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (
kpca
- 核主成分分析，用于轴承故障，人面识别，水位分布等的数据非线性提取。-Kernel principal component analysis for data bearing failure, human face recognition, water distribution and other non-linear extraction.
BP
- 基于BP神经网络的往复泵轴承故障诊断，自己数据检验可用，希望对大家有所帮助 -Reciprocating pump bearing fault diagnosis based on BP neural network
xiaoboshenjingwangluo
- 提出了采用小波包的方法对供暖双吸式离心水泵轴承振动信号进行去噪和提取表征 相应轴承故障的频带能量 并采用 BP 神经网络进行训练和故障识别 通过 MATLAB 进行了仿真经试验验证该方法能够有效地识别出轴承故障-The wavelet package is adoptted to De-noise and extract band energy that represent bearing fault. and the BP neural network is adopting to t
fangzhen
- 用matlab仿真轴承故障信号构造轴承故障的仿真信号，其中轴承的固有频率fn=3000Hz , 位移常数y0=5, 阻尼系数ξ＝0.1, 冲击故障发生的周期为0.01s，采样频率fs=20KHz, 采样点数N=4096。要求：根据上述条件构造轴承故障的仿真信号，画出其时域波形及频谱图。-Matlab simulation bearing fault signal
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- 为 了解决小样本环境 和早期故障预示问 题, 研究 一种基于 物理模型辨 识的滚动 轴承故障诊 断方法,-In order to solve the small sample environment and early failures indicate a problem, studying a rolling bearing fault diagnosis method based on a physical model identification,
Fast-Kurtogram
- 轴承故障谱峭度分析，打开直接运行，包含包络谱分析-Bearing failure analysis of spectral kurtosis, open directly run, including envelope spectrum analysis
zhouchengguzhangzhenduan
- 分形学习进行轴承故障诊断及各个震动数据的数据降维的方法-Fractal study conducted bearing fault diagnosis and the various vibration data dimensionality reduction method
svm
- 采用支持向量机的方法对轴承故障进行模式识别，具有良好的识别效果。-Using support vector machine (SVM) method for bearing fault pattern recognition, good recognition effect.