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Aiming at the requirements of cooling fans’ Failure prediction and health monitoring in the field of industry currently,a new health monitoring algorithm based on reliability model and data fusion is proposed.First of all, article identifies the main performance parameters of fans,including speed,current,rising time,falling time,temperature and humidity.Then combining with cooling fans’ fault model,cooling fans’ health management algorithms are divided into three parts,including environment module ,mechanical module and electronic module.Finally evaluation and prediction of fan status are made through utilizing the combining of reliability model and data fusion,and then we make a prediction to the residual life and failure of cooling fans.