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针对电路故障元件诊断的不确定性问题,给出了光电雷达电子部件故障定位的多传感器Dempster-Shafer(DS)信息融合方法.通过测试电路中的被诊断元件的工作温度和工作电压,得出了DS证据理论中两传感器对各待诊断元件的信度函数分配,再分别利用利用模糊规则和DS联合规则得到融合后的信度函数分配,从而确定故障元件.单传感器诊断与融合诊断的结果比较说明多传感器融合算法具有较高的准确性,而模糊融合算法与DS算法的结果比较则说明DS算法在故障诊断方面更具有优越性.
Aiming at the problem of circuit fault diagnosis, the Demersster-Shafer (DS) multi-sensor information fusion method for fault location of photoelectric radar electronic components is given. By measuring the working temperature and working voltage of the diagnosed components in the circuit, In the DS evidence theory, the two sensors assign the reliability function of the components to be diagnosed, and then use the fuzzy rules and the DS joint rules to get the fusion of the confidence function to determine the fault components.Results of single sensor diagnosis and fusion Comparison shows that the multi-sensor fusion algorithm has a higher accuracy, and fuzzy fusion algorithm and DS algorithm results show that the DS algorithm in the fault diagnosis more superiority.