A framework for fault diagnosis in distributed expert systems

This paper presents a framework for fault diagnosis in distributed expert systems. We investigate computational methods for evidential reasoning in expert systems based on the Guan-Bell approach. Matrices and their products are used to express the reasoning algorithms. This makes the algorithms simpler and perhaps more efficient to implement. To make the description of our method clear, we trace through the analysis of the simplified problem of an example in the context of fault diagnosis in a distributed vehicle monitoring system