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nnt
- 应用遗传算法进行电机运行故障检测，分别为电机轴承滚珠故障、电机轴承内圈故障、电机轴承滚珠和内圈组合故障，其中以40组数据为训练样本，4组数据为测试样本。-Motor fault detection based on Genetic Algorithms，Motor ball bearing failure, the the motor bearing inner ring failure, the motor bearing balls and inner ring combination fa
matlab-
- 对美国轴承库的采集数据进行分析，通过功率谱等变换判断出是否发生故障，发生什么故障-American Bearing collected data database is analyzed by the power spectrum converting determines whether a fault occurs, a fault occurs it
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
111
- 轴承内圈的故障诊断数据来自于美国西科大学，可以用于外圈，滚动体的故障诊断-The inner ring of the bearing fault diagnosis data from USA CK University, can be used for fault diagnosis of the outer ring, rolling body
BP
- 基于BP神经网络的往复泵轴承故障诊断，自己数据检验可用，希望对大家有所帮助 -Reciprocating pump bearing fault diagnosis based on BP neural network
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
zhouchengguzhang
- 轴承故障特征参数，包括各种状态数据及其matlab代码-Bearing fault feature parameters, including various state data and its matlab code
time-frequency-feature
- 此代码用于故障诊断特征提取，所提取特征包括传统时、频域特征和时频特征三部分，数据为轴承数据-This code is used when troubleshooting feature extraction, the extracted features, including traditional, frequency domain and time-frequency characteristics of three parts, the data is bearing data
zhouchengguzhangzhenduan
- 可以试想大型机械零部件的轴承故障诊断功能。并可保存数据。-Bearing fault diagnosis can imagine a large mechanical parts. And save data.
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.
RSSD
- 该代码针对滚动轴承故障振动信号呈现出非线性、非平稳性及噪声背景较强等特点，为了有效提取故障特征，使用的一种共振稀疏分解（Resonance-based sparse signal decomposition，RSSD）与小波变换相结合的振动信号特征提取技术的相关仿真实验程序和轴承数据分解程序。其中，共振稀疏分解是基于品质因子可调小波变换与形态分量分析的一种新的信号分解方法，与常规的基于频带划分的信号分解方法不同，它依据信号各分量的振荡形态不同对信号进行分解。 同时还提供了可调谐 Q 因子小波
神经网络matlab.rar
- 这是一份对于西储大学的轴承数据神经网络分析，主要数据在官网上可以下。(This is a neural network analysis of the bearing data of the West University of storage, the main data can be under the official website.)