搜索资源列表
PCAFisher.rar
- 使用PCA算法的故障诊断MATLAB仿真程序,PCA fault diagnosis procedure
tfr
- matlab 时频分析上面程序第八章的故障诊断的小程序-time-frequency analysis matlab above procedures of Chapter VIII of the small fault diagnosis procedure
diagnosis
- 书中主要介绍设备状态临测与故障诊断技术及应用-The book introduces a state of clinical measurement devices and fault diagnosis technology and its application
bp
- 用BP神经网络的初步级应用实现 电机故障诊断-BP neural network with the initial level of motor fault diagnosis applications
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
bearingroll
- 轴承滚动体故障诊断，故障设置为滚动体局部剥落，故障特征频率为外环通过频率或倍频理论计算得到218.98Hz.-Rolling bearing fault diagnosis, fault set rolling local spalling, the failure characteristic frequency for the outer ring through the frequency or frequency theoretical calculations 218.98Hz.
windowPCA
- 改进后的pca用于故障检测与诊断，应用于TE的化工过程，仿真结果比传统的pca方法效果更好-Pca for improved fault detection and diagnosis of chemical process applied to TE, the simulation results than the traditional method pca better
fenlei
- rbf神经网络用于分类识别，故障诊断，模式识别，自己编写的-rbf neural network for classification and recognition, fault diagnosis, pattern recognition, have written
fault_detection
- Distributed fault identification via non-parametric belief propagation
201003tecplot
- 简介卫星姿态控制系统的模型，并针对该模型分析故障发生的特点，故 障诊断的难点，以及可能发生故障的部位和故障的类型，给出故障检测的方法。-Introduction of satellite attitude control system model and the model for the analysis of the characteristics of faults, fault diagnosis of the difficulties, and possible failure l
dianjiguzhangzhenduan
- 用matlab编写的电机故障诊断的M文件，可以判断故障电机故障类型-Prepared using matlab M-file motor fault diagnosis, fault type motor failure can be judged
2
- 多特征信息融合的贝叶斯网络故障诊断方法研究-Multi-feature information fusion fault diagnosis method of Bayesian networks
work
- 该算法实现了ICA,PCA的过程监测及故障诊断-The algorithm of the ICA, PCA in process monitoring and fault diagnosis
DIAGNOSTIC_DE_LA_MAS
- The works presented in this dissertation are focussed on the design and the development of a diagnosis procedure by parameter estimation for stator and rotor faults in induction motor. Firstly, we review briefly the main techniques for fault dete
Mechanical-fault-diagnosis-method
- 经验小波变换(EWT)是一种新的自适应信号分解方法, 该方法继承了EMD 和小波分析方法的各自优点, 通过提取频域极大值点自适应地分割傅里叶频谱以分离不同的模态, 然后在频域自适应地构造带通滤波器组从而构造正交小波函数, 以提取具有紧支撑傅立叶频谱的调幅-调频(AM-FM)成分。本文将该方法引用到机械故障诊断中, 提出了一种基于经验小波变换的机械故障诊断方法, 并与EMD方法进行了对比分析。仿真结果表明, 经验小波变换方法明显优于EMD方法, 能有效地分解出信号的固有模态。与EMD 相比较, 该
Fault-diagnosis-of-wavelet-transform
- 基于小波分析直接进行故障诊断是属于故障诊断方法中的信号处理法。这一方法的优点是可以回避被诊断对象的数学模型,这对于那些难以建立解析数学模型的诊断对象是非常有用的-Fault diagnosis based on Wavelet Transform
High-speed-fault-diagnosis-system
- 一个高铁故障诊断系统的实现，对高铁故障进行预测。-The implementation of a high-speed train fault diagnosis system, to forecast the high-speed rail failure.
On PCA-based fault diagnosis techniques
- 主元分析，故障诊断，Steven X. Ding(PCA method, fault diagnosis, authored by Steven X. Ding)
PEM
- Robust fault diagnosis of proton exchange membrane fuel cells using a Takagi-Sugeno interval observer approach(In this paper, the problem of robust fault diagnosis of proton exchange membrane (PEM) fuel cells is addressed by introducing the Takagi-S
supervisory-control-fault-diagnosis
- 基于模型的设计课程是一系列自定进度的学习模块, 旨在培养混合动力电动汽车背景下基于模型的设计的基本理解。在本课程中, 基于模型的设计被定义为在复杂系统 (如车辆动力总成) 中开发物理系统和控制器数学模型的方法。本课程的目的是通过开发基本模型来建立对复杂系统的理解, 这些模型可以修改, 以纳入更复杂的行为。监控与故障诊断是该系列的第三门课程。介绍了推进转矩控制和发电机控制模型的应用, 介绍了电池充电状态调节的监控, 并讨论了故障诊断方法。(The Model-Based Design Curric