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RBF
- 基于RBF神经网络的故障诊断,简单讲述了RBF神经网络的设计与应用-RBF neural network based fault diagnosis, a brief descr iption of the RBF neural network design and application of
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- 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
xiaoboshenjingwangluo
- 提出了采用小波包的方法对供暖双吸式离心水泵轴承振动信号进行去噪和提取表征 相应轴承故障的频带能量 并采用 BP 神经网络进行训练和故障识别 通过 MATLAB 进行了仿真经试验验证该方法能够有效地识别出轴承故障-The wavelet package is adoptted to De-noise and extract band energy that represent bearing fault. and the BP neural network is adopting to t