| 基于GA-SVDD的轴承性能退化评估 |
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| 引用本文： | 丛华,谢金良,张丽霞,冯辅周.基于GA-SVDD的轴承性能退化评估[J].装甲兵工程学院学报,2012,26(1):26-30. |
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| 作者姓名： | 丛华 谢金良 张丽霞 冯辅周 |
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| 作者单位： | 装甲兵工程学院机械工程系,北京,100072 |
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| 摘 要： | 为解决因机械设备轴承损伤导致机械故障而无法正常工作的问题,提出了一种基于GA-SVDD的轴承性能退化定量评估方法。该方法采用遗传算法优化选择特征参量,并建立SVDD超球体模型,运用SVDD距离评估轴承的性能退化程度。实验分析表明：该方法能够有效地对轴承性能退化过程的细节进行描述,实现对待测样本退化程度的定量评估。
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| 关 键 词： | 轴承 性能退化 遗传算法 支持向量数据描述 |
Evaluation of Bearing Performance Degradation Based on GA-SVDD |
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| CONG Hua,XIE Jin-liang,ZHANG Li-xia,FENG Fu-zhou.Evaluation of Bearing Performance Degradation Based on GA-SVDD[J].Journal of Armored Force Engineering Institute,2012,26(1):26-30. |
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| Authors: | CONG Hua XIE Jin-liang ZHANG Li-xia FENG Fu-zhou |
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| Institution: | (Department of Mechanical Engineering,Academy of Armored Force Engineering,Beijing 100072,China) |
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| Abstract: | In order to solve the problem of mechanical failure caused from the damage of bearing,the paper proposes a quantitative evaluation method of bearing performance degradation based on GA-SVDD.The method uses genetic algorithm to select feature parameters and build SVDD model.The SVDD distance can be used to evaluate the bearing performance degradation degree.The test analysis show that the method can show the details of bearing performance degradation and realize the quantitative evaluation of performance degradation degree of the bearing samples. |
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