In view of the accuracy and efficiency requirements on fault location in the integrated data network for power system

an interactive fault diagnosing mechanism is proposed. To resolve the fault location set selection problem in the mechanism

an interactive probing choice algorithm(IPCA)is proposed. A Bayesian model is built for the nodes of power integrated data network and the candidate set of location probes. The set is divided into several subsets with the help of conditional independence character of Bayesian networks. The detection value is introduced to measure the diagnostic capacity of the probe and the time complexity of the fault location set selection is reduced using the submodular character in the interaction update process. Simulation results show that IPCA shortens the location time by 20% on average while ensuring the accuracy of fault location. This work is supported by State Grid Corporation of China(No. 52010116000W).