Sensor Fusion in Integrated Circuit Fault Diagnosis Using a Belief Function Model

Abstract

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.

Keywords:

• Fault Diagnosis
• D-S Evidence Theory
• Belief Function
• Information Fusion

Acknowledgment

This project is supported by the National Natural Science Foundation of China (50775136), The 863 High‐technology Research and Development Program of China (2006 AA09Z210), The Natural Science Foundation of Shanghai (07ZR14045) and the Project of the Shanghai Municipal Education Commission (06FZ036).