| 基于SVM-GA的剩余使用寿命预测方法研究 |
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| 引用本文： | 阎旭坤,张星辉,郑浩.基于SVM-GA的剩余使用寿命预测方法研究[J].价值工程,2013(31):48-50. |
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| 作者姓名： | 阎旭坤 张星辉 郑浩 |
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| 作者单位： | [1]军械工程学院,石家庄050003 [2]65647部队,锦州121000 |
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| 摘 要： | 提出了基于支持向量机和遗传算法的齿轮剩余使用寿命预测方法,该方法包含退化特征提取、状态数优化和寿命预测三个过程。齿轮箱全寿命数据用来对方法进行验证,通过分析单步和30步预测结果,充分说明了该预测方法的有效性,为后续工作奠定了基础。
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| 关 键 词： | 寿命预测 支持向量机 遗传算法 |
Research on Remaining Useful Life Prediction Based on SVM-GA |
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| YAN Xu-kun; ZHANG Xing-hui; ZHENG Hao.Research on Remaining Useful Life Prediction Based on SVM-GA[J].Value Engineering,2013(31):48-50. |
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| Authors: | YAN Xu-kun; ZHANG Xing-hui; ZHENG Hao |
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| Institution: | YAN Xu-kun; ZHANG Xing-hui; ZHENG Hao ( 1.Ordnance Engineering College, Shijiazhuang 050003, China ;2.65647 Unit, Jinzhou 121000, China ) |
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| Abstract: | In this paper, a remaining useful life prediction method based on support vector machine and genetic algorithm is proposed. This method contains three steps： feature extraction, state optimization and life prediction. The full life test data is used to validate the proposed method. The results of one-step and thirty step prediction are analyzed and the effectiveness of this method is validated. It makes a fundamental for next step work. |
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| Keywords: | life prediction support vector machine genetic algorithm |
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