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118
- 滚动轴承振动信号容易受 到随机噪声 的污染, 如 何去噪 成为滚动轴承故障诊断的关键问题之一。而传统的消噪方法可能会将信号中一些能量小的有用信号当作噪声消除, 本 文即提出 一种改进 的小波消噪方法-Rolling bearing vibration signals are easily influenced by the random noise pollution, such as any denoising become one of the key problems of rolling
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
AR_MED_filter
- AR滤波与最小熵反褶积在滚动轴承故障诊断中的应用-AR filter and minimum entropy deconvolution Roller Bearing Fault Diagnosis
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
bearingcodes1
- bearing fault matlab codes
Wind-power-bearing-test
- 风电机组轴承的状态监测和故障诊断与运行维护-Wind turbine bearing condition monitoring and fault diagnosis and operation and maintenance
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
Fuzzy_entropy_bbd
- 模糊熵， 为解决从信号中提取故障特征难的问题, 介绍了一种新的信号故障特征提取方法—— 多尺度熵( multi-scale entro py, 简称MSE) , 并将样本熵和多尺度熵分别应用于转子故障信号复杂性的度量, 以提取故障特征。试验数据 分析表明, 与样本熵相比, 多尺度熵更能有效地实现转子故障类型的诊断。-A new rolling bearing fault diagnosis approach based onmultiscale permutation entropy (
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 (
Untitled
- 含有实验所得的滚动轴承故障数据，共振解调法用于对振动信号的故障诊断，并能准确判定故障发生的部位。-Rolling Bearing Fault contains experimental data obtained, the resonance demodulation method for fault diagnosis of vibration signals, and can accurately determine the site of the fault.
111
- 轴承内圈的故障诊断数据来自于美国西科大学，可以用于外圈，滚动体的故障诊断-The inner ring of the bearing fault diagnosis data from USA CK University, can be used for fault diagnosis of the outer ring, rolling body
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
286
- 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,
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.
22
- 基于阶次分析理论的轴承故障诊断方法，该vi 很有实用价值，希望可以给大家带来帮助。-Bearing fault diagnosis method based on the order analysis theory, the vi Is of great practical value, the hope can bring you help.
wavelet-outer-fault
- 滚动轴承外圈故障频率，小波分析后包络变换，数据来源西储大学-Rolling bearing outer fault wavelet analysis