Notice of RetractionStudy on the Uncertain Problems in Power Grid Fault Diagnosis

To solve the uncertain problems existing in power grid fault diagnosis, on the base of fault diagnosis expert system based on rules and causal logic, a method of Bayesian statistics inference is proposed in this paper , through the analysis of historical data, the diagnosis system gets a general memory function; meanwhile, introducing case-based reasoning (CBR), establishing a special case library, enables the system to remember the special events; the application of the two methods, has improved the diagnosis system's comprehensive reasoning abilities and enhanced the adaptability and self-learning ability of the system.