Bayesian inference for fault diagnosis in real-time distributed systems

Abstract

We propose fault location strategies based on a Bayesian decision-theoretic approach. The proposed B-algorithm can locate the failed units in a distributed system with complexity which is linear in the number of subsystems in the network, making it suitable for hard real-time applications. The method is probabilistic and comparison-based, employing multiple incomplete test concepts.<>