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bbbpp_trainp
- bp网络训练源代码，可用于参数识别别，模式分类，如损伤识别，故障诊断等 -bp network training, the source code can be used for parameter identification, pattern classification, such as damage identification, fault diagnosis
chapter17
- SOM神经网络的数据分类--柴油机故障诊断,通过bp神经网络的训练和查看分类，可以查看每个神经元的分类情况-SOM neural network data classification- diesel engine fault diagnosis, bp neural network training and view categories, you can view the classification of each neuron
BPnetwork
- BP神经网络用于故障诊断的例子，内有代码和说明，可以对照注释学习-BP neural network for fault diagnosis example code and instructions can control annotation learning
bpshenjinwangluo
- bp神经网络在齿轮箱故障诊断中的应用的文章，写的非常的详细，对于初学神经网络的学生可以下下来看看，非常有用-Bp neural network in the application of gearbox fault diagnosis of the article, write very detailed, for the beginner students neural network can be down to look at, very useful
BP
- Matlab编程 用于对电机绕组故障进行诊断-Matlab programming for motor winding fault diagnosis
BPaRBF
- 基于BP神经网络的预测及故障诊断，并且与RBF神经网络算法进行对比-Prediction and fault diagnosis based on BP neural network and RBF neural network algorithm and compare
BP_END
- 这是一篇关于MATLAB进行BP神经网络故障诊断的代码，完全手写，仅用于参考-This is an article on BP neural network fault diagnosis in MATLAB code, completely written only for reference
BP神经网络故障诊断
- 基于BP神经网络的故障诊断与识别，用于简单的模式识别。
程序
- 针对齿轮箱故障诊断的问题，提出了一种基于BP神经网络和DS 证据理论的不确定性信息融合方法。(In order to realize a stable and effective gearbox fault diagnosis system, an uncertain information fusion method based on BP neural network and modified DS evidence theory is proposed.)
发电机声音检测与故障诊断研究
- 发电机故障检测与诊断方面的论文。包括发电机声音信号采集、处理，特征值提取和基于BP神经网络的分类。(paper.About:fault detection ,feature extraction.Based on the generator sound detection and fault diagnosis research)
BP神经网络，支持向量机等用于风机故障诊断
- BP神经网络，支持向量机等用于风机故障诊断(BP Neural Network and support Vector Machine for Fan Fault diagnosis)
故障诊断与容错控制课程设计报告
- 针对滚动轴承这种非平稳振动信号采用的小波包分解的方法来检测故障的存在，运用神经网络来实现故障的分类，还结合D-S理论融合了多个传感器的诊断结果，提高了故障诊断的准确性并通过实验仿真证实。(This course's job is to use the wavelet packet decomposition method for non-stationary vibration signals of rolling bearings to detect the presence of fault