搜索资源列表
KICA
- 核独立主元分析(KICA算法)在模式识别、过程监测、故障诊断等不同领域的应用中都表现了很好的性能。-Kernel independent principal component analysis (KICA algorithm) has shown good performance in pattern recognition, process monitoring, fault diagnosis and other fields.
FaultDiagnosisToolbox_2016-03-01
- Fault Diagnosis Toolbox is a Matlab toolbox for analysis and design of fault diagnosis systems for dynamic systems, primarily described by differential equations. In particular, the toolbox is focused on techniques that utilize structural analy
PNN
- 概率神经网络的分类预测-基于PNN变压器故障诊断-Classification prediction of probabilistic neural network based on PNN transformer fault diagnosis
SOM
- SOM神经网络的数据分类 柴油机故障诊断-Data classification SOM Neural Network- Engine Fault Diagnosis
park
- 一个扩展PARK矢量变换的程序，非常适合故障诊断用-An extension PARK vector conversion program for fault diagnosis.
jc
- 电机状态检测与故障诊断的matlab算法原理与代码，包含数据-Matlab algorithm principle and code, including the data of motor state detection and fault diagnosis
diagnose
- 这是一个SVM的故障诊断应用程序，利用MATLAB可以直接运行程序-This is a SVM for fault diagnosis application, use of MATLAB can run programs
ELM_dialog
- 本算法主要采用的是极限学习机对电机故障诊断的研究，通过训练精度来诊断该算法的效果-This algorithm is mainly used in research ELM motor fault diagnosis, through training to diagnose accuracy of the algorithm effect
NETWORKDOCTOR
- 局域网故障诊断系统，里面包含源代码和数据库和文档-LAN Fault Diagnosis System
cluster_VMDaFCM_casedat
- 为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM
FaultDiagnosisPCA
- 基于信息熵和PCA的故障诊断方法，针对状态方程描述-The fault diagnosis method based on information entropy and PCA is described
SOM_BP
- SOM神经网络的数据分类，案例为柴油机故障诊断，代码思路清晰易于修改-Data classification SOM neural networks, case for the diesel engine fault diagnosis, easy to modify the code clear thinking
Solving_Waveletentropy_in_Matlab
- 非常简洁的小波熵计算方法，它是一种趋势分析方法，可用于设备状态检测和故障诊断。-Wavelet entropy calculation is very simple method, which is a trend analysis method can be used to detect equipment status and fault diagnosis.
Synchronous_generator_fault_diag
- 一个采用Matlab仿真计算的同步发电机故障诊断实验-A synchronous generator fault diagnosis Matlab simulation of experiments
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.
Envelope_detection
- Envelope detection of a gear. It is to do a gear fault diagnosis.
diagnose
- 《MATLAB神经网络原理与实例精解》中chap13中的例子 基于概率神经网络的柴油机故障诊断-Diesel Engine Fault Diagnosis based probabilistic neural network- " MATLAB network principles and examples of fine nerve Solutions" in chap13 examples
mrkpca
- mrkpca-故障诊断 主成分分析-核主成分分析的故障诊断-mrkpca-fault diagnosis Principal component analysis and fault diagnosis of kernel principal component analysis
mrdpca
- mrdpca-故障诊断 引入动态过程，改进主成分分析，能更好的监测故障-mrdpca-fault diagnosis Dynamic process is introduced to improve the principal component analysis, which can better monitor the fault.
gailv
- 基于概率神经网络的柴油机故障诊断，使用MATLAB，希望帮助到大家-Diesel Engine Fault Diagnosis based on probabilistic neural network using MATLAB, we hope to help