搜索资源列表
simulation_of_outer_race_fault
- 轴承外圈故障仿真的信号，简单实用，欢迎朋友提供内圈，滚动体，保持架仿真信号！(Signal of Bearing Outer Ring Fault Simulation)
fangzhen chengxv
- 仿真轴承故障的振动信号，显示时域波形和频域波形。(Vibration signals of bearing faults are simulated and time domain waveforms and frequency domain waveforms are displayed.)
Desktop
- 西储大学轴承数据，故障特征频率明显，与理论值基本符合。(The bearing data of Xichuan University have obvious fault characteristic frequency, which is basically in accordance with the theoretical value.)
轴承特征提取
- matlab代码，轴承特征提取，包括rms、最大幅值、峰值因子、绝对平均值、平均值、峭度、脉冲因子、裕度因子、能量，小波包、经典模态分解等特征(Matlab code, bearing feature extraction, including rms, maximum amplitude, crest factor, absolute mean, mean, kurtosis, pulse factor, margin factor, energy, etc.)
TQWT原版
- TQWT工具箱，可调Q因子小波变换，可用于轴承齿轮故障诊断。(TQWT toolbox, adjustable Q factor wavelet transform, can be used for bearing gear fault diagnosis.)
Autogram
- Autogram能够对频带进行合适的选取，用于轴承等故障诊断(Autogram is a new approach to find the proper frequency band of demodulation for bearing faults diagnosis. Moshrefzadeh A, Fasana A. The Autogram: An effective approach for selecting the optimal demodulation band in ro
cyclostationary_toolbox
- cyclostationary_toolbox 循环平稳分析工具箱，可用于齿轮和轴承的故障诊断(cyclostationary_toolbox for gear and bearing fault diagnosis)
10.1016@j.jsv.2016.01.046
- 基于EEMD的回转支承故障多尺度ICA方法 检测与诊断(EEMD-based multiscale ICA method for slewing bearing fault detection and diagnosis)
匹配追踪算法
- 共振稀疏分解常用算法匹配追踪法，用于轴承故障的分离(Resonance sparse decomposition algorithm matching tracking method is commonly used for bearing fault separation)
多尺度样本熵
- 自编多尺度样本熵程序，实例中用于一段轴承故障数据，简单易懂。MultiscaleSampleEntropy函数中的SampleEntropy也可以单独拎出来计算单个样本熵。(Multi scale sample entropy is used for a section of bearing fault data, which is easy to understand. SampleEntropy in the MultiscaleSampleEntropy function can also
多尺度排列熵
- 多尺度样本熵程序，实例中用于一段轴承故障数据，简单易懂。MultiscalePermutationEntropy函数中的PermutationEntropy也可以单独拎出来计算单个样本熵。(The multi-scale sample entropy program, which is used for a section of bearing fault data in an example, is simple and easy to understand. The permutatione
DD-KNN-for-bearing-fault-diagnosis
- 该算法是最新的故障诊断改进算法，使用DD算法优化KNN对滚动轴承故障进行故障诊断，内附有实例，可以进行运行验证，准确率相较于为优化的具有很大提升，内有详细解释代码，对学习者是很好的学习机会！！！
xichu
- 利用西储数据，进行滚动轴承的诊断，提取故障特征。(The rolling bearing is diagnosed and the fault features are extracted by using the data of Western storage.)
Newmark
- 适用于双支承转子，newmark方法是通过适当比例的位移，速度代替加速度，通过积分计算速度和位移表达式，进而求得加速度。(double support bearing rotor)
matlab
- 滚动轴承的时域统计特征matlab程序，包括均方根值、方根幅值、峭度等量纲指标(The rolling bearing is diagnosed and the fault features are extracted by using the data of Western storage.)
包络谱诊断轴承故障
- 实现包络谱轴承故障诊断检测，通过matlab实现，可以直接演示(The envelope spectrum bearing fault diagnosis and detection is realized by MATLAB, which can be demonstrated directly)