Research on Fault Early Warning Technology for Power Middleware System

In power information system, the maintenance of middleware should promote from the traditional post inspection to the fault pre-diagnosis and intelligent early-warning. Prognostics and Health Management (PHM) method used for power oriented middleware has become an urgent research topic. Taking the middleware cluster as the research object, according to the data processing flow of PHM technology, researching on Grey-Markov forecasting, combining with time slice management and dynamic confidence threshold, this paper designs and implements a fault early warning model for the middleware cluster management. Taking the application of operations management platform in Hubei electric power company as an example, The method realizes the accurate warning of the middleware fault, and reduces the false alarm rate. The experimental results show that this method is feasible and and effective.