Fault Diagnosis for Water Turbines Based on D-S Evidential Theory
Jianzhong Zhou · Water Resources and Power · 2009
In order to resolve the fault diagnosis of the hydraulic turbine in the uncertain conditions,the D-S evidential reasoning combined with rough set theory is used for data fusion with the fault samples.Under the condition of incomplete detecting information,we calculate the probabilities of the lost information according to the detected samples based on the Baysian Theory.Finally,if various diagnosed results appear,D-S Evidential Theory is used to combine these results to obtain the consistent outputs.The simulation results demonstrate the feasibility and efficiency of the method.