A new synthetic model of maintenance decision-making, which is made by an artificial neural network (ANN), expert system (ES )and emulation technology, is put forward. By means of this model all kinds of maintenance resources with low cost can be effectively harmonized; accordingly, the reliability, maintenance efficiency and quality of equipment can be improved, so service life of equipments is enhanced.
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