故障自动分类 meaning in Chinese

automated defect classification software

The applied of demodulation with esa is advanced with which diagnosis precision has been improved , and real time diagnosis and accuracy ratio are satisfied on bearing production line . automatic classification model using integration of adaptive wavelet transform network and self - organizing feature map network is introduced . the strong suits of wavelet and neural network are made use of in this model and bearing fault classification is realized automatically
第三章提出了一种自适应小波变换网络与自组织特征映射网络( self - organizingfeaturemapnetwork - somn )集成的故障自动分类模型，该模型把小波的时频局部化优点与神经网络的自学习、非线性映射能力有机结合起来，把高维测量空间中的非平稳信号复杂信息映射到易于分类的二维空间，实现了轴承故障自动分类。