Fuzzy clustering fault diagnosis of vacuum metallurgy system

In large vacuum metallurgy system (DVMS),there are many possible fault types,and relationship between fault symptoms and causes is complicated.It is difficult to exactly find out fault according to air pumping mechanism.But DVMS process needs quick and exact fault diagnosis for equipment.An intelligent diagnosis model based on fuzzy clustering algorithm is put forward for vacuum metallurgy system.The model has very high self-learning and self-organizing ability,and is applicable to fault diagnosis of large and complicated vacuum system.Taking intelligent fault diagnosis of RH-KTB vacuum metallurgy system as example,actual procedure of fuzzy fault diagnosis is presented.Through example analysis,it is proved that the algorithm is effective for intelligent fault diagnosis of large and complicated vacuum metallurgy system.