搜索资源列表
SVMluzhenbo
- SVM-matlab故障诊断程序 -SVM-matlab process fault diagnosis fault diagnosis SVM-matlab program
71294140guzhangzhenduanprogram
- EMD完整工具箱，可以在MATLAB环境下运行，适合于故障诊断中的信号处理。-EMD complete toolbox, you can run in the MATLAB environment, signal processing for fault diagnosis.
tishengxiaobo
- 提升小波变换的MATLAB程序，适合于故障诊断中的信号分析和处理-Lifting Wavelet Transform MATLAB, signal analysis and processing for fault diagnosis
quzao
- 信号去噪的MATLAB程序，可以参考使用，特别是故障诊断中的信号去噪-MATLAB program, the signal de-noising can refer, in particular, the signal de-noising in the fault diagnosis
For-ncomplex-indllSt
- 模型是进行控制与稳定性分析的基础，可以服务于仿真、系统行为分析、系 统内在机理分析、控制、预测、监督与故障诊断等目的。因此，建立系统的模型 已成为许多科学研究与工程实施的首要问题。-Model is the basis for control and stability analysis, can serve simulation, system behavior analysis, the internal mechanism of the system analysis, contr
youhua-rbf-de-suanfa
- 粒子群算法优化神经网络的参数，应用到故障诊断的应用中去-Parameters particle swarm optimization neural network is applied to fault diagnosis of the application to
nmf-mcc
- 最大熵非负矩阵分解用于聚类分析对基因疾病的诊断- nmf by maximzing correntropy f
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 (
Diesel-engine-fault-diagnosis
- 基于概率神经网络的柴油机故障诊断,通过建模，最后得到诊断的效果-Diesel engine fault diagnosis based on probabilistic neural network, through modeling, finally got a diagnosis effect
Desktop
- 这是柴油机故障诊断中，对振动信号进行的粒子滤波降噪处理的程序。-This is a diesel engine fault diagnosis procedures, particle filter noise vibration signal processing.
mdip
- 是一种小波去噪的程序代码，并且适用于图像处理及信号处理，在机械故障诊断中有着良好的作用-Is a kind of wavelet denoising procedure code, and is suitable for image processing and signal processing, has a good role in the mechanical fault diagnosis
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.