3 research outputs found
iDCR: Improved Dempster Combination Rule for Multisensor Fault Diagnosis
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