| 统计模式识别和自回归滑动平均模型在
设备剩余寿命预测中的应用 |
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| 引用本文： | 廖雯竹,潘尔顺,王莹,奚立峰.统计模式识别和自回归滑动平均模型在
设备剩余寿命预测中的应用[J].上海交通大学学报,2011,45(7):1000-1005. |
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| 作者姓名： | 廖雯竹 潘尔顺 王莹 奚立峰 |
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| 作者单位： | (1.重庆大学 机械工程学院， 重庆 400030； 2.上海交通大学 机械与动力工程学院， 上海 200240) |
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| 基金项目： | 国家自然科学基金资助项目(50875168,50905115); 国家高技术研究发展计划(863)项目(2008042801) |
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| 摘 要： | 为了对设备预知性维护研究提供支持，采用统计模式识别（SPR）方法对设备进行性能评估，获取设备健康指标；再运用自回归滑动平均模型（ARMA）对设备剩余寿命进行预测，建立了基于设备健康状况的设备剩余寿命预测模型.对生产过程中刀具加工设备寿命预测进行分析和验证结果表明，该设备评估和预测方法是有效且实用的.
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| 关 键 词： | 健康指标 统计模式识别 自回归滑动平均模型 剩余寿命 预测 |
| 收稿时间： | 2010-07-28 |
Research of Predicting Machine's Remaining Useful Life Based on Statistical Pattern Recognition and Auto-regressive and Moving Average Model |
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| LIAO Wen-zhu,PAN Er-shun,WANG Ying,XI Li-feng.Research of Predicting Machine's Remaining Useful Life Based on Statistical Pattern Recognition and Auto-regressive and Moving Average Model[J].Journal of Shanghai Jiaotong University,2011,45(7):1000-1005. |
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| Authors: | LIAO Wen-zhu PAN Er-shun WANG Ying XI Li-feng |
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| Institution: | LIAO Wen-zhu1,PAN Er-shun2,WANG Ying2,XI Li-feng2(1.College of Mechanical Engineering,Chongqing University,Chongqing 400030,China,2.School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200240,China) |
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| Abstract: | Considering the important applications of predictive maintenance(PdM) today,it becomes essential to acquire machine's condition and its deterioration process.A machine's remaining useful life(RUL) model was proposed in which a statistical pattern recognition(SPR) method is developed to estimate machine's health index(HI) and an auto-regressive and moving average(ARMA) model is used to predict machine's RUL based on HI information,which greatly supports PdM planning.Through a case study,the computational res... |
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| Keywords: | health index(HI) statistical pattern recognition(SPR) auto-regressive and moving average(ARMA) model remaining useful life(RUL) prediction |
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