Equipment Residual Useful Life Prediction Oriented Parallel Simulation Framework

Equipment residual useful life (RUL) prediction is the main contents of Condition Based Maintenance (CBM) research and the reasonableness of CBM decision is determined by RUL prediction accuracy. Due to the equipment state are complicated with uncertainty, predicting RUL has become a research difficulty according to the equipment state. Simulation provides an effective way to solve the RUL prediction problem. The concept and technology framework of equipment residual useful life prediction oriented parallel simulation are proposed based on parallel system theory in this paper and the concept, characteristics, capacity demands and functional compositions of parallel simulation are introduced. The essential technologies of equipment RUL prediction oriented parallel simulation are discussed which include awareness of equipment state, construction of equipment state space model and evolution of equipment state space model, thus providing references for building equipment RUL prediction oriented parallel simulation system.