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zhouchenggund
- 轴承滚动体故障诊断代码，内含频率计算，大家一起学习
bearigout
- 轴承外环故障诊断，故障设置为外环局部剥落，故障特征频率为外环通过频率或倍频理论计算得到475.6Hz.-Bearing outer ring fault diagnosis, fault set to the outer ring local spalling, the failure characteristic frequency for the outer ring through the frequency or frequency theoretical calculations 47
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
bearing
- 轴承信号故障诊断小波特征提取 采用公开的轴承信号作为源信号-Bearing fault diagnosis signal wavelet feature extraction
Machinery-Diagnosis
- 子波分析是一种日益获得广泛应用的信号处理新技 术, 具有良好的时-频局部化特性, 尤其适用于时变及非平 稳信号。本文简述了子波函数与子波展开的基本概念, 利用 展缩子波和调和子波将信号及信号均方值进行时-频两维 分布。最后采用了三种子波分析方法对轴承故障进行诊断, 即使对现有各种方法尚难以诊断的滚动体故障, 也能获得 满意的结果, 说明子波分析的确为机械故障诊断提供了强 有力的分析手段。-Wavelet a nalysis, as a new technique of
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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
lunwen
- 最新关于故障诊断的论文，有LMD算法，还有EMD算法，主要是做轴承磨损预测的-failed to translatefailed to translatefailed to translatefailed to translate
envelope-bearing-diagnosis
- 共振解调法轴承诊断 包络谱包括外环内环滚子故障诊断-Resonance demodulation method envelope bearing diagnostic spectrum, including outer inner roller Troubleshooting
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
harmonic
- 该功能主要是计算harmoonic小波变换的旋转设备状态监测的基于振动的轴承故障诊断。-The function basically is for computing Harmoonic wavelet transform for condition Monitoring of rotating equipments by vibration based bearing fault diagnosis.
kurtogram-method
- 关于一篇英文论文中峭度谱分析方法的变成，用于轴承故障诊断中。-A paper on a English kurtosis spectrum into analysis method, used for fault diagnosis of bearing.
zhouchengzhenduanchengxu
- 针对于掏棒机的轴承故障诊断程序，便与检测故障的原因与错误-The fault diagnosis program for the brazing machine is related to the cause and error of the fault
pinyutezheng
- 一维信号频域特征提取，可用于轴承故障诊断和趋势预测-Wherein the one-dimensional frequency domain signal extraction, can be used to predict bearing Fault Diagnosis and
motor emd
- 小波变换及经验模式分解方法在电机轴承早期故障诊断中的应用(Study on the method of incipient motor bearing fault diagnosis based on wavelet transform and EMD)
神经网络matlab.rar
- 这是一份对于西储大学的轴承数据神经网络分析，主要数据在官网上可以下。(This is a neural network analysis of the bearing data of the West University of storage, the main data can be under the official website.)
p2_0_generate_training_data
- 凯斯西储大学数据，轴承故障诊断过程，数据预处理(generate training data)
emd
- 基于EMD滚动轴承故障诊断的编程，将振动信号进行分解得到特征频率(Based on EMD programming of rolling bearing fault diagnosis, the vibration signal is decomposed to obtain characteristic frequency)
DRS（Up to Pudn）
- 包含三个M文件，程序为本人自行编译完成，Demo中设有仿真信号验证，并经本人实际齿轮箱信号（轴承外圈故障）测试，经包络分析结果显示能够有效定位轴承外圈故障频率。 亲测可用。(It contains three M files. The program is compiled and completed by myself. Demo has simulation signal validation. It has been tested by my actual gear box signal
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.)
AR_MED_filter
- AR-MED 滤波，可用于轴承故障诊断，齿轮故障诊断(AR-MED filter for bearings fault diagnosis)