摘要
对Fuzzy ART网络的学习和训练算法作了详细的说明。为了验证网络的分类效果,以振动信号的小波包频带能量作为特征向量,采用Fuzzy ART网络对滚动轴承的故障进行分类。分类结果表明,Fuzzy ART可以非常有效地进行故障分类。
The learning and training algorithm of Fuzzy ART were given. To testify the classifying result of network, the wavelet packet frequency band energy was taken as feature vector, Fuzzy ART network was adopted to realize the classifying in fault of rolling bearing. The result shows algorithm can diagnoses fault of bearing accurately.
出处
《机电工程》
CAS
2006年第12期8-9,12,共3页
Journal of Mechanical & Electrical Engineering
