论文标题
IDCR：改进的多传感器故障诊断的Dempster组合规则
iDCR: Improved Dempster Combination Rule for Multisensor Fault Diagnosis
论文作者
论文摘要
从多个传感器收集的数据可以有效地融合，以准确监视许多工程应用程序。在过去的几年中，多传感器融合的最受欢迎的应用之一是故障诊断。 Dempster-Shafer的证据理论以及Dempsters组合规则是一种非常流行的多传感器融合方法，可以成功地应用于故障诊断。但是，如果从不同的传感器获得的信息显示出很大的冲突，则经典的Dempsters组合规则可能会产生违反直觉结果。为了克服这一缺点，本文提出了改进的多传感器数据融合的组合规则。已经提出了数值示例，以显示提出的方法的有效性。还使用现有方法进行了比较分析，以显示多传感器故障诊断中提出的方法的优越性。
Data gathered from multiple sensors can be effectively fused for accurate monitoring of many engineering applications. In the last few years, one of the most sought after applications for multi sensor fusion has been fault diagnosis. Dempster-Shafer Theory of Evidence along with Dempsters Combination Rule is a very popular method for multi sensor fusion which can be successfully applied to fault diagnosis. But if the information obtained from the different sensors shows high conflict, the classical Dempsters Combination Rule may produce counter-intuitive result. To overcome this shortcoming, this paper proposes an improved combination rule for multi sensor data fusion. Numerical examples have been put forward to show the effectiveness of the proposed method. Comparative analysis has also been carried out with existing methods to show the superiority of the proposed method in multi sensor fault diagnosis.
