搜索资源列表
rtcmas_client
- 小波包分析提取振动信号中的特征频率，以及能量谱分析计算-wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis
xuanzhuanjixzhengdongxinhao
- 一种旋转机械振动信号特征提取的新方法，利用小波技术
对轴承故障振动信号的matlab小波分析程序
- 对轴承故障振动信号的matlab小波分析程序，能完成对故障特征频率的提取,Of bearing fault vibration signals matlab wavelet analysis procedures, can finish on the fault characteristic frequency extraction
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- 随机减量方法，从结构的随机振动响应中提取该结构的自由衰减振动信号-Random decrement method, the structure of the random vibration response of the structure to extract the free vibration signal attenuation
wavepage
- 小波包分析提取振动信号中的分解，系数重构特征频率，以及能量谱分析计算-Wavelet packet analysis to extract the vibration signal decomposition coefficient reconstruction of the characteristic frequency, and calculate the energy spectrum analysis
wavelet
- 小波包分析提取振动信号中的特征频率，以及能量谱分析计算-wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis -Extraction of wavelet packet analysis in the vibration signal characteristic frequency, as well as the calculati
vibrationfilter
- 这个程序可以实现对振动等信号的滤波及特征提取，可以应用于实际。-This program can achieve the vibration signal filtering and feature extraction
NExT
- 一种适用于多自由度的自然激励技术，可以实现从随机响应信号中提取自由振动信号。-A multi-degree of freedom for the natural excitation technique, can extract from the random response signal free vibration signals.
xiaobobao-BPwangluo
- 小波包和BP神经网络在齿轮箱故障诊断中的应用，本文对齿 轮箱振动信号应用小波包分解提取故障特征向量，进一步用特征向量训练前向传播BP人工神经网络。-xiaobobao、BP、gearbox fault detection
Wavelet_DecRec
- matlab小波分析，振动信号处理，瞬态信号提取，故障分析-matlab wavelet analysis, signal processing, vibration, transient signal extraction, failure analysis
rtcmas_client
- 小波包分析提取振动信号中的特征频率，以及能量谱分析计算--wavelet packet analysis vibration signal from the characteristic frequency, and the energy spectrum analysis
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- 介绍了一种基于振动信号隐马尔可夫模型(HMM)的新的齿轮故障检测和诊断方案。 首先从振动信号中提取特征,这些信号既包括正常齿轮也包括故障齿轮,特征以振动信号自回归模 型的多项式传递函数的反射系数为基础。这些特征用来训练HMM归类各种齿轮状况。经过试验 验证,用这些特征判断故障的准确性很高。 -:A newgear fault detection and diagnosis scheme based on Hidden MarkovModel (HMM) of vibra- t
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- 通过在实车上模拟坦克变速箱工作档位齿轮故障,利用Hilbert变换幅值解调法提取箱 体振动信号的包络,并对包络信号进行抽取和低频段频谱细化,提出了一种基于包络细化谱分析的 坦克变速箱工作档位齿轮故障诊断方法。 - A fault diagnosis method of working position gear in tank gear-box was put forward based on simulating the fault of working position ge
q1
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
xiaobobaoju
- 小波包能量巨程序（已做归一化处理，用于对振动信号提取特征）-Wavelet packet energy giant program (normalization process has been done for the vibration signal feature extraction)
VMD_test
- 一种分解精度高、模态混叠问题少的VMD特征提取算法，进行振动信号分解,形成初始特征向量矩阵(A VMD feature extraction algorithm with high decomposition accuracy and few modal aliasing problems is used to decompose the vibration signal and form the initial eigenvector matrix.)
aedmd
- 欢迎大家下载学习，真的是一个好程序，小波包分析提取振动信号中的特征频率。( Welcome to download the study, Really is a good program, Wavelet packet analysis to extract vibration signal characteristic frequency.)
振动信号时域频域特征（带测试数据）
- 针对信号的时域特征和频域特征提取，带测试数据，能够运行(According to the time-domain and frequency-domain feature extraction of signals, the system can run with test data.)
基于多信号小波变换分解的特征提取
- 实现对振动信号的小波变换分解的特征提取。(The wavelet transform decomposition of vibration signal is realized to extract its features.)
基于改进的希尔伯特振动分解的机械故障诊断方法研究
- 针对多分量机械故障振动信号的特征提取问题，介绍一种基于希尔伯特振动分解( HVD) 的时频分析方法。该方法首先利用 Hilbert 变换得到原始振动信号的解析信号，然后通过对解析信号的瞬时频率低通滤波获得信号中幅值最大分量的瞬时频率，同时经同步检测获得相应的瞬时幅值和初相位，最后经过迭代运算自适应地检测出原信号各分量的时频信息。针对 HVD 方法的边界效应问题，提出一种基于相关系数准则的波形匹配边界延拓法对其进行改进。 通过两组仿真信号分析验证了 HVD 方法对多分量非平稳信号的分解能力，同时