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mianyisuanfa
- 人工免疫算法人工神经网络基于轴承的模式识别matlab故障诊断-Artificial immune algorithm based on artificial neural network pattern recognition matlab bearing fault diagnosis
MethodofFaultDiagnosisforRollingBearingBasedonBPNe
- 将BP神经网络应用于滚动轴承故障诊断，实现滚动轴承的智能化故障诊断和状态监测，软件平台为MATLAB。-BP neural network to fault diagnosis of rolling bearing, rolling bearing to achieve intelligent fault diagnosis and condition monitoring software platform for MATLAB.
xiaobobao-BP-zhoucheng-zhenduan-
- 基于小波包特征向量与神经网络的滚动轴承故障诊断。：基于故障轴承的特征提取，提出了将小波包分析与神经网络结合的滚动轴承故障诊断方法。对滚动轴承信号进行3层小波包分解，构造小波包特征向量作为故障样本，用训练好的BP神经网络进行故障诊断，试验结果表明，该方法能够有效地诊断出滚动轴承的故障类型。-Fault Diagnosis of Rolling Bearings Based on W avelet Packet Energy Eigenvector and Neural Network
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- 小波分析在交通领域的应用（汽车变速器轴承故障诊断、变速器齿轮故障诊断和车辆非平稳振动分析）-Wavelet analysis in the application of the traffic (auto transmission bearing fault diagnosis, transmission gear fault diagnosis and vehicle the nonstationary vibration analysis)
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
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- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
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
zhuchengxu
- 读取轴承全寿命周期中的每组数据，并对其进行多域特征提取，包括时域和频域特征提取，用于轴承性能退化评估的研究很有用，自己亲手调试成功-Read bearing the full life cycle of each set of data, and extract its multi-domain characteristics, including time domain and frequency domain feature extraction for bearing performanc
bearing-envelope-analysis-
- 对轴承振动信号进行滤波和包络频谱分析，可通过包络谱发现轴承故障，也可用于其他故障诊断的研究，程序已调试通过-Bearing vibration signal filtering and envelope spectrum analysis, bearing failure can be found through the envelope spectrum can also be used to study other troubleshooting procedures have been d
xsj
- 关于一个轴承故障分解程序，里面包含小波去噪，重构等，还有EMD模态分解，并且还有各种功率谱仿真图-About a bearing failure decomposition process, which contains the wavelet de-noising, reconstruction, etc., as well as mode decomposition EMD, and there are a variety of power spectrum simulation map
p2_0_generate_training_data
- 凯斯西储大学数据，轴承故障诊断过程，数据预处理(generate training data)
EMD-Hilbert
- 轴承故障诊断中振动信号EMD分解和Hilbert包络(EMD Decomposition and Hilbert Envelope of Vibration Signal in Bearing Fault Diagnosis)