针对单一的灰色关联或D-S证据理论在转子故障诊断中存在的不足,将灰色关联和D-S证据理论相融合的决策级信息融合方法应用到感应电机转子故障诊断中;首先用灰色关联对故障进行初步诊断,然后,将灰色关联分析的诊断输出结果作为D-S证据理论的基本概率分配,最后,依据证据组合规则进行合成,得出转子故障的最终诊断结果；实验仿真结果验证了方法在转子故障诊断中的有效性,可以减小诊断的不确定性,提高故障的诊断准确率和诊断精度.%For the shortage of single method of gray correlation or D-S evidence theory in rotor fault diagnosis, a fault diagnostic meth-od based on decision -level information fusion for induction motor rotor was proposed, which was based on gray correlation and D-S evidence theory. The gray correlation method was applied to the fault diagnosis firstly, and then, the partial diagnostic results of gray correlation were taken as the basic probability assignment, finally, the D~S evidence theory was applied to fuse different results from all the gray correlation analysis and got the finally diagnostic results. The experiment simulation results show that the uncertainty is decreased and has better classified diagnosis ability & precision than single fault diagnostic method. So the method is effective.
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