搜索资源列表
AR_MED_filter
- AR滤波与最小熵反褶积在滚动轴承故障诊断中的应用-AR filter and minimum entropy deconvolution Roller Bearing Fault Diagnosis
MED-AND-SANC
- 用于滚动轴承微弱故障信号的诊断的方法:最小熵反卷积程序、自适应消噪法处理轴承信号、美国西储大学轴承数据处理等5个源文件-Fault diagnosis for rolling bearing weak signal approach: minimum entropy deconvolution procedure, adaptive noise cancellation treatment bearing signals, Case Western Reserve University, Uni
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- 针对齿轮滚动轴承等的早期损伤类故障, 提出将小波包分解作为包络分析的前置处理手段以提取振动信号的故障信息特征 。 在简述小波包基本原理的基础上, 通过仿真信号, 对振动信号的具体处理过程进行分析, 并对可能遇到的问题, 提出处理办法, 然后应用于诊断实例 。 -Early damage fault for rolling bearings and other gear, the proposed wavelet packet decomposition as pre-processing mea
435
- 滚动轴承多部位多类别故障诊断属于大规模或者较复杂分类问题,利用智能方法诊断时需 要设计结构合理的神经网络才能实现高精度诊断 -Rolling multi-site multi-class fault diagnosis are more complex or large-scale classification problems, the need for the rational design of neural network structure in order to achieve
med2d
- 一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+,]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上,对保留信号进行最小熵反褶积,增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题,实车测试表明: 与共振解调技术相比,该方法提取的滚动轴承故障特征更加明显,更适合于工程应用"-Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (
Untitled100
- 共振解调的源代码,用于对滚动轴承的振动信号处理,并通过fft变换,进行故障诊断-Resonance demodulation source code for rolling bearing vibration signal processing and through the fft transform, fault diagnosis
Untitled
- 含有实验所得的滚动轴承故障数据,共振解调法用于对振动信号的故障诊断,并能准确判定故障发生的部位。-Rolling Bearing Fault contains experimental data obtained, the resonance demodulation method for fault diagnosis of vibration signals, and can accurately determine the site of the fault.
wavepenergy
- 利用小波包函数,对滚动轴承的故障进行分析,最后得出图形,进行故障分析,非常有用。-it is very good,best for wavelet.
mangyuanfenli
- 利用盲源分离方法。在滚动轴承复合故障中的应用。-The use of blind source separation methods. Application of the rolling bearing compound fault.
Study-on-compound-fault-diagnosis
- 针对滚动轴承复合故障信号特征难以分离的问题, 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方 法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠, 对 故障信号特征提取有很大的干扰, 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离, 从而尽可能消除频率混叠 最后 对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调, 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
CBR1
- 该代码是基于案例推理的滚动轴承故障诊断的matlab代码。可以实现故障的自动分类和诊断。-this programe is used to diagnosise the fault of bearing and it can classfied the fault.
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- 利用软件对滚动轴承使役过程进行了动态有限元计算输入变量抽样空间的位置进行一系列确定性拟合试验-Using software to process the location of Rolling causative dynamic finite element input variable sampling space to fit a series of deterministic test
pingjuntimefre
- 针对滚动轴承全寿命周期试验数据,采用滑动平均法对原始信号平滑后求其时域特征图,可用于轴承性能退化评估的研究-Experimental data for the entire life cycle of rolling bearings, using the moving average method to study after the original time-domain signal smoothing seeking the feature map, can be used for b
wavelet-outer-fault
- 滚动轴承外圈故障频率,小波分析后包络变换,数据来源西储大学-Rolling bearing outer fault wavelet analysis
lly1
- 针对滚动轴承故障信号具有非平稳、非高斯的特点,提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上,以滚动轴承外圈故障振动信号为例,采用多种信号处理方法进行了分析。结果表明,各种分析方法在分析轴承故障时的特点各不相同,在实际使用中,可将时域分析与小波分析综合使用,实现轴承状态的实时监测与故障的准确定位。-For rolling bearing fault signals have non-stationary, non-Gaussian, we pro
LMDchengxu
- 采用小波相邻系数降噪,然后用改进的局域均值分解对滚动轴承进行特征提取,得到特征向量-Using adjacent wavelet coefficients of noise reduction, and then use the improved local mean decomposition characteristics of rolling bearing are extracted, get the feature vector
Size-calculation-for-rolling-bearing
- 根据转速,节圆直径,滚动体直径,采样率进行滚动轴承故障尺寸的计算-Size calculation for rolling bearing
GLP
- 滚动轴承内外圈故障仿真信号MATLAB程序实现-MATLAB fault simulation signal bearing program
nervous
- 根据滚动轴承的内圈,外圈,滚动体,正常四方面做故障诊断预处理-According to the fault of rolling bearing inner ring, outer ring, rolling body, the normal four fault diagnosis pretreatment
yuzhi_fanzgzhen_de_noise
- 仿真滚动轴承信号,通过不同阈值降噪方法,降噪后的时域图-Simulation of rolling bearing signal, through the different threshold noise reduction method, time-domain figure after noise reduction