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动态贝叶斯网络在设备剩余寿命预测中的应用研究
引用本文:杨志波,董明.动态贝叶斯网络在设备剩余寿命预测中的应用研究[J].计算机集成制造系统,2007,13(9):1811-1815.
作者姓名:杨志波  董明
作者单位:上海交通大学,机械与动力工程学院,上海,200030;上海交通大学,机械与动力工程学院,上海,200030
摘    要:采用动态贝叶斯网络对设备剩余寿命进行预测,建立了基于动态贝叶斯网络模型的设备剩余寿命预测框架模型,运用动态贝叶斯网络的粒子滤波近似推理算法对加工过程中钻头寿命预测进行实例研究,结果表明了该方法的有效性.

关 键 词:动态贝叶斯网络  剩余寿命  预测
文章编号:1006-5911(2007)09-1811-05
收稿时间:2006-09-06
修稿时间:2007-02-05

Dynamic Bayesian networks for predicting remaining useful life of equipment
YANG Zhi-bo,DONG Ming.Dynamic Bayesian networks for predicting remaining useful life of equipment[J].Computer Integrated Manufacturing Systems,2007,13(9):1811-1815.
Authors:YANG Zhi-bo  DONG Ming
Abstract:To predict Remaining Useful Life(RUL) for equipment by Dynamic Bayesian Networks(DBN),a new probabilistic methodology based on DBN was proposed.A modeling framework for prognosis was provided and the particle filtering inference algorithm was employed to predict the RUL of equipment.The proposed method was validated by tests on drill-bits,and it was proved to be effective.
Keywords:dynamic Bayesian networks  remaining useful life  prediction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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