摘要
对船舶机电设备故障进行了分析,指出故障诊断必须从多类数据中寻找隐藏的信息,进而提出了对于观测数据运用模糊聚类方法进行信息融合,寻找故障模式.算例证明方法有一定的效果.
The paper analyzes the fault of marine mechanical and electrical equipment, paints out that diagnosing fault should search hidden information from many kinds of data and puts forwards that information fusion and searching fault mode are done to observe data by fuzzy clustering method The validity is verified by the examples of calculation.
出处
《船舶工程》
CSCD
北大核心
2007年第3期44-46,共3页
Ship Engineering
关键词
船舶
船舶机电设备
故障诊断
模式识别
模糊聚类
信息融合
ship
marine mechanical and electrical equipment
fault diagnosis
mode identification
fuzzy clustering
information fusion
