基于可靠性模型及数据融合的冷却风扇健康管理算法

Health Monitoring Algorithm of Cooling Fans Based on Reliability Model and Data Fusion

摘要:

针对目前工业领域对冷却风扇的故障预测与健康管理的需求,提出了基于可靠性模型及信息融合的冷却风扇健康管理算法;文中对风扇的主要性能参数进行辨识,包括转速、电流、上升时间、下降时间、温度以及适度,结合风扇故障模型,将冷却风扇健康管理算法分为环境、机械及电子3个模块；利用可靠性模型及信息融合,对风扇状态进行评估以及预测,进而对风扇的剩余寿命及故障进行预测。

Abstract:

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.