摘要
介绍了模糊聚类方法的原理及FCM算法,并将它应用于少故障类别的轴承故障诊断中,取得了良好的效果,与神经网络方法相比,模糊聚类方法的实现只需少量样本,克服了神经网络方法需要大量样本来实现的瓶颈,实用性更强。
The principle and arithmetic of fuzzy clustering are shown. When fuzzy clustering is applied to fault diagnosis of bearing, it can get a ideal result. The method of fuzzy clustering is more practical than neural network, because it only needs a few sample while neural network need a great deal of samples.
出处
《煤矿机械》
北大核心
2006年第9期194-196,共3页
Coal Mine Machinery
关键词
轴承
模糊聚类
故障诊断
bearing
fuzzy clustering
fault diagnosis
