搜索资源列表
energy-leakage--dual-tree
- 首先根据高斯白噪声频率充满整个频带的特性，通过双树复小波包变换对高斯白噪声进行分解，利用频带能量泄漏的定量分析方法，验证了双树复小波包变换具有较低的频带能量泄漏特性；其次利用双树复小波包变换逐层分解信号，对每层分解所得分量求其FFT谱的峭度，得到基于双树复小波包变换的谱峭度图，根据图中峭度最大的原则，可以自动准确的选择信号分解最佳层数和最佳分量；最后将基于双树复小波包变换的谱峭度图的故障诊断方法应用于实际工程中，对齿轮故障振动信号进行分析，选择最佳分解层数和分量后利用希尔伯特包络解调，有效准确地
b753937fc8d5
- Matlab轴承外环故障诊断以及应用原理-Matlab bearing outer ring and the application of the principle of fault diagnosis
283
- 为快速高效地完成涡扇发动机传感器故障诊断算法的硬件在环仿真试验-For fast and efficient completion of the turbofan engine sensor fault diagnosis algorithm for hardware in the loop simulation
284
- 针对涡扇发动机非线性暍非高斯的特点棳提出了一种自适应的粒子滤波算法用于涡扇发动机气 路部件突变故障的诊断-turbofan engine for non-Gaussian nonlinear characteristics 棳 an adaptive particle filter algorithm turbofan engine gas path component fault diagnosis for mutation
285
- 建立模型及其滤波递推算法棶在深空探测暍发动机故障诊断等许多工程实际中-Modeling and recursive filtering algorithms 棶 practice in deep space exploration 暍 engine fault diagnosis, and many other projects
286
- 为 了解决小样本环境 和早期故障预示问 题, 研究 一种基于 物理模型辨 识的滚动 轴承故障诊 断方法,-In order to solve the small sample environment and early failures indicate a problem, studying a rolling bearing fault diagnosis method based on a physical model identification,
fault_diagnosis
- 故障诊断程序，齿轮故障诊断，这里的神经网络可以根据需要选择，也可以都选择进行比较，方便写学术论文。-Troubleshooting procedures, gear fault diagnosis, where the neural network can be selected according to, you can also choose to compare, easy to write academic papers.
Teager_keiser
- Teager能量谱，两种计算方法，很好用 ，主要用在机械故障诊断上-Teager energy spectrum, two calculation methods, useful, mainly used in mechanical fault diagnosis
program
- 包括emd分解程序，求边际谱程序，hilbert包络解调程序，求取小波包频带能量程序，K均值聚类程序-fault diagnosis program
feixianxing
- 文章对非线性系统进行了故障诊断，并做了容错控制，并用仿真实例很好滴证明了！-This paper discusses the fault diagnosis of nonlinear systems and fault-tolerant control, good drop by simulation examples prove!
SOM-PNN
- 本文将SOM（自组织特征映射）和PNN（概率）神经网络应用到柴油机故障诊断中，首先介绍了SOM和PNN神经网络的算法，然后对柴油机的故障进行了分析，并运用matlab进行了仿真，验证了实验结果。-This article will SOM (self-organizing feature map) and PNN (probability) neural network is applied to fault diagnosis of diesel engine, first introduce
TestLMD
- 测试成功的局部均值分解算法，可应用在故障诊断中-The test successful local mean decomposition algorithm，can be used in fault diagnosis
GUZHANGZHENDUAN
- 利用八组故障样本数据，根据样本的特征利用SOM网络进行故障诊断。-Using the eight groups of fault data samples, according to the characteristics of the sample using SOM network fault diagnosis.
vw
- 大众车型通过OBDII接口诊断故障和读取数据流功能软件使用C++实现，在VS2005开发环境编译通过，可配合ELM327或者TL718实现-VW models through the OBDII interface fault diagnosis and read the data flow function of software is implemented using C++, in the VS2005 development environment through the compil
PCA_TE_Fault
- 详尽的PCA算法对TE过程的故障诊断分析，内含有部分故障数据，可供调试使用，对做故障诊断的非常有帮助。-PCA algorithm of detailed analysis of the fault diagnosis process of TE, contains some failure data, available to debug, is helpful for fault diagnosis.
tqwt_matlab_toolbox
- 可调Q因子小波变换，用在故障诊断中，程序中包含了原始TQWT工具箱和轴承振动信号信号的谱包络的求取等，最新的应用成果-Adjustable Q-factor wavelet transform used in fault diagnosis, the program includes a spectral envelope of the original TQWT toolbox and bearing vibration signal signal to strike, etc., the l
annclassify
- 用神经网络进行故障诊断的分类程序，数据引用的是凯斯西储大学的数据-ANN classified node。Performed using neural network fault diagnosis classification procedures, data referenced data is Case Western Reserve University
PCA-KPCA
- 主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as
probabilistic-neural-network
- 基于概率神经网络的柴油机故障诊断，对象可以换，希望对大家有用，多向大家学习交流，望采纳！-Based on probabilistic neural network fault diagnosis of diesel engine, the object can change, hope useful for everyone, learn a lot you communicate, hope to adopt!
zhouchengguzhangzhenduan
- 分形学习进行轴承故障诊断及各个震动数据的数据降维的方法-Fractal study conducted bearing fault diagnosis and the various vibration data dimensionality reduction method