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zhengdongxinhao
- 对机械类振动信号处理,时域内特征值得提取,均值、均方根、绝对平均幅值、峭度等-For mechanical vibration signal processing, time domain feature extraction worth, mean, RMS, mean absolute amplitude, kurtosis, etc.
MyIndex
- 本程序是计算振动信号各种参数的实验程序。 主要功能是计算均值、标准差、方差、偏斜度、峭度、 峰峰值、方根幅值、平均幅值、峰值、 波形指标、峰值指标、脉冲指标、裕度指标。 - This program is to calculate the vibration signals of various parameters experimental procedures. The main function is to calculate the mean, standa
tongji
- 时域统计信息量,方差、均方根值、峭度因子、波形因子等-Time domain statistical information, variance, root mean square value, kurtosis factor, waveform factor, etc
MySpectrum1
- 本程序是计算振动信号各种参数的实验程序。 主要功能是计算均值、标准差、方差、偏斜度、峭度、 峰峰值、方根幅值、平均幅值、峰值、 波形指标、峰值指标、脉冲指标、裕度指标。 -matlab index
shujufenxi
- 用以计算离散信号的均值,均方根值,方差,峭度和歪度-The mean value of discrete signal to the RMS value, variance, kurtosis and skewness.
STATS
- 本程序为描述统计常用变量计算 !调用计算最大值和最小值的冒泡程序,计算平均值,标准差,计偏态、峰态系数的函数等 !可以计算的统计变量包括下列各项: !n : sample size 样本大小 !mean : 平均值 !median : 中位数 !variance: 方差 !SD : 样本标准差 standard deviation !SEM : 样本平均数标准误:standard error of mean !ama
matlab程序
- 能够从信号中提取时域参数,包括:均值、峰值、均方根值、偏斜度、峭度等。(The time domain parameters can be extracted from the signal, including mean, peak, RMS, skewness, kurtosis, etc.)
time-domain
- 自己用的时域特征提取方式,包含均值,均方根值,歪度,峭度,峰值指标,阈值裕值指标,峭度指标等,然后用RBF做聚类(The method of feature extraction in time domain includes mean value, root mean square value, skewness, kurtosis, peak value index, threshold margin index, kurtosis index, etc. Then RBF is used
labview
- 使用labview采集16通道数据,采集10次,保存成tdms格式,并对所有数据进行频谱分析,有效值和峭度等指标的10次趋势分析,可在趋势图中点击光标查看原始波形(Using LabVIEW to collect 16-channel data, collect 10 times, save them in TDMS format, and analyze 10 times trend of all data, such as spectrum analysis, RMS and kurtosi
轴承特征提取
- matlab代码,轴承特征提取,包括rms、最大幅值、峰值因子、绝对平均值、平均值、峭度、脉冲因子、裕度因子、能量,小波包、经典模态分解等特征(Matlab code, bearing feature extraction, including rms, maximum amplitude, crest factor, absolute mean, mean, kurtosis, pulse factor, margin factor, energy, etc.)
matlab
- 滚动轴承的时域统计特征matlab程序,包括均方根值、方根幅值、峭度等量纲指标(The rolling bearing is diagnosed and the fault features are extracted by using the data of Western storage.)