Application of multi-information fusion for diagnosis in turbine generator set
Tianyu Wang · Ha'erbin gongye daxue xuebao · 2004
The application of multi-information fusion can improve the precision and reliabilitv of fault diagno-sis in turbine generator set and other rotor machine. The comprehensive utilization of the multi-information fusion diagnosis object is studied. The method of fusion with weighted adaptive and least square and correlation at data Ievel are reseached and fusion of fuzzv set at characteristic Ievel is discussed. A newly faults diagnosis method with multi parallel neural network are presented. In the fault diagnosis of turbine generator set, the problem of fast processing of various kinds of massive data was solved.