搜索资源列表
MonteCarloFaultDiagnosis
- Monte Carlo Based Simulation Based on the Analog Fault Diagnosis & Analysis
SOM
- 基于SOM神经网络的故障诊断，比较粗略，有待改善~-Based on SOM neural network fault diagnosis, more rough, yet to be improved
Engine-Diagnosis-on-NN
- 基于概率神经网络的采油机故障诊断，运行后能对采油机样本是否故障进行判断并能给出故障类型-Troubleshooting probabilistic neural network-based oil extraction machine, running on the extraction machine can sample and determine whether the fault can be given the type of fault
bianyaqi
- 变压器的故障诊断算法，应用BP神经网络方法对变压器的故障进行诊断-Transformer fault diagnosis algorithm, BP neural network method for transformer fault diagnosis
rotor01
- 采用一种新型的基于流方的笼型异步电机转子故障诊断详细过程文档。-A new type of cage induction motor rotor fault diagnosis based on the flow side of the document
chenxushangchuan2
- 带通滤波函数，故障诊断时采集振动信号后对信号进行滤波后处理。-The signal is filtered after the signal is collected in the fault diagnosis
guzhangzhenduan
- 之前写的关于单盘转子和轴承故障诊断的小程序-Before writing about the single-disc rotor and the bearing fault diagnosis applet
svdprony
- 使用奇异值分解算法的prony算法用于电机故障诊断-SVD algorithm prony algorithm for the motor fault diagnosis
yAxk
- 分布式系统的程序，基于simulink编写，模型主要解决的问题是将一个完整的大系统，分解成多个分布式的系统，然后可以进行控制，故障诊断等研究。-Distributed system procedures, prepared based on simulink model the main problem is to complete a large system into multiple distributed systems, and can be controlled, and fault
baoluopuzhouchengguzhangzhenduan
- 利用matlab通过包络谱与能量谱诊断轴承内外圈故障，并附有内外圈的故障数据，适合初学者。-By using matlab spectrum and energy spectrum envelope bearing inner ring fault diagnosis, fault data together with inner and outer rings, suitable for beginners.
pso-bpguzhangzhenduan
- 应用粒子群优化算法优化bp网络的权值和阈值应用于故障诊断，程序可行，效果明显编写详细，注释清晰。-Application of particle swarm optimization algorithm to optimize the weights and thresholds of BP network is applied to fault diagnosis, the program is feasible, the effect is obvious, and the notes ar
temex
- 主元分析法在te过程故障诊断的仿真，和正常模型-Principal component analysis method in TE process fault diagnosis simulation, and normal model
Matlab
- 主要是用来解决在神经网络中存在的过拟合问题，实例是在工业过程中用神经网络进行故障诊断的例子-Is mainly used to solve the existed neural network overfitting, it is an example of an instance in industrial processes using neural network fault diagnosis
LMD
- 自己变成的LMD算法，用于轴承故障诊断方向的诊断信号进行分析。能实现对轴承故障信号进行有效提取，分为多个IMF分量和参与分量。-LMD algorithms themselves into, the diagnostic signals for the direction of the bearing fault diagnosis are analyzed. Bearing fault signal can be achieved effectively extracted into a pl
svd
- svd算法用于滚动轴承故障诊断中，该算法通过对故障信号进行重构，能够有效提高故障频率。-svd algorithm for ball bearing fault diagnosis, fault signal by the algorithm to reconstruct, can effectively improve the fault frequency.
dianlanguzhang
- 电缆故障诊断以及故障方法的介绍，故障定位，自适应故障报警等-Cable fault diagnosis and fault method is introduced, fault location, the adaptive fault alarm, etc
pnn
- PNN概率神经网络，用于分类，具体是基于PNN的变压器故障诊断-PNN probabilistic neural network is used to classify the transformer fault diagnosis based on PNN
222222222222
- 遗传算法是一种新的优化方法，在计算科学、模式识别和智能故障诊断中得到了广泛的应用。它是用来解决复杂的非线性和多维空间的优化问题，近年来也得到了更广泛的应用。-Genetic algorithm is a new optimization method, extensively used in computational science, pattern recognition and intelligent fault diagnosis. It is used in solving the c
Clustering-PCA
- 主成分分析（Principal Component Analysis，PCA）， 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量，转换后的这组变量叫主成分。-Principal component analysis is a statistical method. A set of variables that may be related to a set of variables that may be correlated to a set of vari
kpca
- 基于核函数的非线性维数约简方法有基于核函数的主成分分(KPCA),本算法主要应用于过程监测、故障诊断等领域。-Kernel function based nonlinear dimensionality reduction method is based on kernel function (KPCA), which is mainly used in process monitoring, fault diagnosis and so on.