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In power information system, the maintenance of middleware should be arranged from the traditional post inspection to the fault pre-diagnosis and intelligent early-warning. Fault prediction and health management (PHM) technology based on 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 effective.