Fault Diagnosis of Hydro-Turbo Based on the D-S Evidence Theory

In order to obtain the fault diagnosis results of the hydro-turbo under the uncertain conditions, the paper carried on the fault diagnosis by method of reducing the redundant information of the fault samples using the Rough set. When facing the incomplete detective information, we compute the probability of the losing attributes to judge the faults by the Baysian theory. For the multi-diagnostic results, the D-S evidence theory is used in the diagnostic results fusion to obtain the consistent result. Experimental results reveal that the diagnostic schedule is feasible and effective.