摘要
主要阐述如何从故障信号数据库中,应用模糊聚类分析方法挖掘信号的特征模式,并以氧传感器信号为例说明该 方法的应用过程,通过数据挖掘提取氧传感器的四个参数作为信号的特征。
Demonstrates how to mine the character from fault database by applying fuzzy clustering way.Furthermore,the diagnosis way is illustrated by mining the characters of oxygen sensor signal.In the system,oxygen sensor signal chooses 4 characters.
出处
《现代制造工程》
CSCD
2005年第1期86-88,共3页
Modern Manufacturing Engineering
关键词
数据挖掘
特征提取
故障诊断
Data mining Character obtaining Fault diagnosis
