| 基于健康状态退化的设备可靠度预测模型 |
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| 引用本文： | 冯添乐,江永丰,张志会. 基于健康状态退化的设备可靠度预测模型[J]. 适用技术之窗, 2010, 0(3): 6-9 |
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| 作者姓名： | 冯添乐 江永丰 张志会 |
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| 作者单位： | [1]军械工程学院装备指挥与管理系,河北石家庄050003 [2]75233部队,广东韶关512100 [3]77569部队,西藏拉萨850030 |
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| 摘 要： | 设备可靠度预测在设备的维修管理中扮演着重要的角色，有效的设备故障预测对降低设备维修费用、停机时间或运行风险都起到至关重要的作用。本文在分析设备状态数据的基础上，通过引入支持向量回归机，建立了基于退化数据的预测模型，并将该模型用于发动机可靠度的预测。
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| 关 键 词： | 可靠度 预测 健康状态退化 支持向量回归机 |
Health Degradation-based Prognostic Model of Machinery Reliability |
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| Feng Tianle Jiang Yongfeng Zhang Zhihui. Health Degradation-based Prognostic Model of Machinery Reliability[J]. Science & Technology Plaza, 2010, 0(3): 6-9 |
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| Authors: | Feng Tianle Jiang Yongfeng Zhang Zhihui |
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| Affiliation: | Feng Tianle Jiang Yongfeng Zhang Zhihui (1.Deprtment of Equipment Command and Management, Ordnance Engineering College, Hebei Shijiazhuang 050003; 2.PLA Unit 75233, Guangdong Shaoguan 512100; 3.PLA Unit 77569, Xizang Lasa 850030) |
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| Abstract: | Reliability prognostics plays an impotant role in maintenance management of machine, the ability of machinery failure forecast is vital to reducing maintenance cost, operation downtime and operation risk. This paper presents a novel approach for machinery reliability prognostic via incorporating health degradation data and Support Vector Regression （SVR）. The proposed model was used to forecast the reliability and failure time of the diesel motor. |
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| Keywords: | Reliability Prognostic Health Degradation Support Vector Regression |
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