Data fusion and decision support for command and control
IEEE Transactions on Systems, Man and Cybernetics
Shafer-dempster reasoning with applications to multisensor target identification systems
IEEE Transactions on Systems, Man and Cybernetics
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Sensor fusion in anti-personnel mine detection using a two-level belief function model
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Information combination operators for data fusion: a comparative review with classification
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
New approach to information fusion steady-state Kalman filtering
Automatica (Journal of IFAC)
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In this paper, a multi-senor information fusion method based on the D-S (Dempster-Shafer) evidence theory is presented for fault diagnosis in an integrated circuit. By measuring the temperature and voltages of circuit components, the fault belief function assignment of two sensors to circuit components is calculated, and the fusion fault belief function assignment is obtained by using the D-S evidence theory. Then the actual fault component is precisely found according to the fusion data. Comparing the diagnosis results based on separate original data with the ones based on D-S theory fusion method, it is shown that the D-S information fusion fault diagnosis method is more accurate. Finally, two fault diagnosis examples of the simple signal magnification circuit and the integrated circuit of industrial case are given.